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2010

  1. Diego Piedrahita, Israel Hernandez, Alejandro Lopez-Tobon, Dmitry Fedorov, Boguslaw Obara, B. S. Manjunath, Ryan L. Boudreau, Beverly Davidson, Frank LaFerla, Juan Carlos Gallego-Gomez, Kenneth S. Kosik, and Gloria Patricia Cardona-Gomez,
    “Silencing of CDK5 Reduces Neurofibrillary Tangles in Transgenic Alzheimer's Mice”,
    Journal of Neuroscience, vol. 30, no. 42, pp. 13966-13976, Oct. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Alzheimer's disease is a major cause of dementia for which treatments remain unsatisfactory. Cyclin-dependent kinase 5 (CDK5) is a relevant kinase that has been hypothesized to contribute to the ... more
  2. Jiejun Xu, Zefeng Ni, Carter De Leo, Thomas Kuo, and B.S. Manjunath,
    “Spatial-Temporal Understanding of Urban Scenes through Large Camera Network”,
    ACM International Conference on Multimedia (2010), Workshop on Multimodal Pervasive Video Analysis, Italy, Oct. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Outdoor surveillance cameras have become prevalent as part of the urban infrastructure, and provided a good data source for studying urban dynamics. In this work, we provide a spatial-temporal analysi ... more
  3. Vignesh Jagadeesh and B. S. Manjunath,
    “INTERACTIVE GRAPH CUT SEGMENTATION OF TOUCHING NEURONAL STRUCTURES FROM ELECTRON MICROGRAPHS”,
    IEEE International Conference on Image Processing, Sep. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: A novel interactive segmentation framework comprising of a two stage s-t mincut is proposed. The framework has been designed keeping in mind the need to segment touching neuronal structures in Electro ... more
  4. Zefeng Ni, Santhoshkumar Sunderrajan, Amir Rahimi, B. S. Manjunath,
    “Distributed Particle Filter Tracking With Online Multiple Instance Learning In a Camera Sensor Network”,
    IEEE International Conference on Image Processing, Sep. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper proposes a distributed algorithm for object tracking in a camera sensor network. At each camera node, an efficient online multiple instance learning algorithm is integrated with particle fi ... more
  5. L. Nataraj, A. Sarkar and B. S. Manjunath,
    “Precise Localization Of Key-points To Identify Local Regions For Robust Data Hiding”,
    IEEE International Conference on Image Processing, Sep. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a novel data hiding system where data is embedded in local non-overlapping regions in an image. To survive cropping, the encoder embeds the same data in multiple regions of fixed dimensions ... more
  6. Aruna Jammalamadaka, Swapna Joshi, S. Karthikeyan, B.S. Manjunath,
    “Discriminative Basis Selection using Non-negative Matrix Factorization”,
    IEEE International Conference on Pattern Recognition, Aug. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Non-negative matrix factorization (NMF) has proven to be useful in image classification applications such as face recognition. We propose a novel discriminative basis selection method for classificati ... more
  7. Zefeng Ni, Santhoshkumar Sunderrajan, Amir Rahimi, B.S. Manjunath,
    “Particle Filter Tracking With Online Multiple Instance Learning”,
    IEEE International Conference on Pattern Recognition, Aug. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper addresses the problem of object tracking by learning a discriminative classifier to separate the object from its background. The online-learned classifier is used to adaptively model object ... more
  8. Pradeep Koulgi, Mehmet Emre Sargin, Kenneth Rose and B. S. Manjunath,
    “Graphical Model-based Tracking of Curvilinear Structures in Bio-image Sequences”,
    IEEE International Conference on Pattern Recognition, Aug. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Tracking of curvilinear structures is a task of fundamental importance in the quantitative analysis of biological structures such as neurons, blood vessels, retinal interconnects, microtubules, etc. T ... more
  9. M.E. Sargin, P. Ghosh, B. S. Manjunath and K. Rose,
    “Object Tracking with Ratio Cycles Using Shape and Appearance Cues”,
    IEEE International Conference on Pattern Recognition, pp. 3649-3652, Aug. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present a method for object tracking over time sequence imagery. The image plane is represented with a 4-connected planar graph where vertices are associated with pixels. On each image, the outer c ... more
  10. Lakshmanan Nataraj, Gregoire Jacob, B.S.Manjunath,
    “Detecting Packed Executables based on Raw Binary Data”,
    VRL, ECE, University of California, Santa Barbara, Jun. 2010.
    [abstract] [PDF] [BibTex]
  11. Anindya Sarkar, Kaushal Solanki, and B. S. Manjunath,
    “Obtaining Higher Rates for Steganographic Schemes while Maintaining the Same Detectability”,
    Information Hiding Workshop 2010, Calgary, Canada, Jun. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper focuses on modifying the decoder module for an active steganographic scheme to increase the effective data-rate with- out affecting the embedding module. Three techniques are suggested to i ... more
  12. Thomas Kuo, Zefeng Ni, Carter De Leo, and B.S. Manjunath,
    “Design and Implementation of a Wide Area, Large-Scale Camera Network”,
    IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Workshop on Camera Networks,, Jun. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: We describe a wide area camera network on a campus setting, the SCALLOPSNet (Scalable Large Optical Sensor Network). It covers with about 100 stationary cameras an expansive area that can be divided i ... more
  13. Pratim Ghosh, M.E. Sargin, B.S. Manjunath,
    “Generalized Simultaneous Registration and Segmentation”,
    IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1363-1370, Jun. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Simultaneous registration and segmentation (SRS) provides a powerful framework for tracking an object of interest in an image sequence. The state-of-the-art SRSbased tracking methods assume that the i ... more
  14. Swapna Joshi, S. Karthikeyan, B. S. Manjunath, Scott Grafton and Kent A. Kiehl,
    “Anatomical Parts-Based Regression Using Non-Negative Matrix Factorization”,
    IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2863-2870, Jun. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. Analyzing such local c ... more
  15. Anindya Sarkar, Upamanyu Madhow, and B. S. Manjunath,
    “Matrix Embedding with Pseudorandom Coefficient Selection and Error Correction for Robust and Secure Steganography”,
    IEEE Transactions on Information Forensics and Security, vol. 5, no. 2, pp. 225-239, Jun. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: In matrix embedding (ME) based steganography, the host coefficients are minimally perturbed such that the transmitted bits fall in a coset of a linear code, with the syndrome conveying the hidden bits ... more
  16. Anindya Sarkar, Vishwakarma Singh, Pratim Ghosh, B. S. Manjunath, Ambuj Singh,
    “Efficient and Robust Detection of Duplicate Videos in a Large Database”,
    IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 6, pp. 870-885, Jun. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present an efficient and accurate method for duplicate video detection in a large database using video fingerprints. We have empirically chosen the Color Layout Descriptor, a compact and robust fra ... more
  17. A.H.K. Roeder , V. Chickarmane, A.Cunha, B. Obara, B.S. Manjunath and E.M. Meyerowitz,
    “Variability in the Control of Cell Division Underlies Sepal Epidermal Patterning in Arabidopsis thaliana”,
    PLoS Biology, vol. 8, no. 5, pp. e1000367, May. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: How growth and proliferation are precisely controlled in organs during development and how the regulation of cell division contributes to the formation of complex cell type patterns are important ques ... more
  18. E. Moxley, T. Mei and B. S. Manjunath,
    “Video Annotation Through Search and Graph Reinforcement Mining”,
    IEEE Transactions on Multimedia, vol. 12, no. 3, pp. 184-193, Apr. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Unlimited vocabulary annotation of multimedia documents remains elusive despite progress solving the problem in the case of a small, fixed lexicon. Taking advantage of the repetitive nature of modern ... more
  19. Laura E. Boucheron, B. S. Manjunath, and Neal R. Harvey,
    “USE OF IMPERFECTLY SEGMENTED NUCLEI IN THE CLASSIFICATION OF HISTOPATHOLOGY IMAGES OF BREAST CANCER”,
    Proc. of IEEE ICASSP, pp. 666-699, Dallas, Texas, Mar. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Many features used in the analysis of pathology imagery are inspired by grading features defined by clinical pathologists as important for diagnosis and characterization. A large majority of these fea ... more
  20. Kristian Kvilekval, Dmitry Fedorov, Boguslaw Obara, Ambuj Singh and B.S. Manjunath,
    “Bisque: A Platform for Bioimage Analysis and Management”,
    Bioinformatics, vol. 26, no. 4, pp. 544-552, Feb. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Motivation: Advances in the field of microscopy have brought about the need for better image management and analysis solutions. Novel imaging techniques have created vast stores of images and metadata ... more
  21. Pratim Ghosh, Luca Bertelli, Baris Sumengen, and B.S. Manjunath,
    “A Non-Conservative Flow Field for Robust Variational Image Segmentation”,
    IEEE Transactions on Image Processing, vol. 19, no. 2, pp. 478-490, Feb. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: We introduce a robust image segmentation method based on a variational formulation using edge flow vectors. We demonstrate the non-conservative nature of this flow field, a feature that helps in a bet ... more
  22. L. Nataraj, A. Sarkar and B. S. Manjunath,
    “Improving re-sampling detection by adding noise”,
    Proceedings of SPIE, 2010, Media Forensics and Security, vol. 7541, pp. 75410I-75410I-11, Jan. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Current image re-sampling detectors can reliably detect re-sampling in JPEG images only up to a Quality Factor (QF) of 95 or higher. At lower QFs, periodic JPEG blocking artifacts interfere with perio ... more
  23. Anindya Sarkar,
    “Novel Image Data-Hiding Methodologies for Robust and Secure Steganography with Extensions to Image Forensics”,
    Ph.D. Thesis, University of California, Santa Barbara, Jan. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: In the modern age, the proliferation of digital multimedia content has led to it being used as a medium of secure communication. The art of secret communication using a covert medium like images is ca ... more
  24. Anindya Sarkar and B. S. Manjunath,
    “Image Dependent Log-likelihood Ratio Allocation for Repeat Accumulate Code based Decoding in Data Hiding Channels”,
    Proceedings of SPIE, 2010, Media Forensics and Security, vol. 7541, pp. 754113-754113-6 , University of California, Santa Barbara, Jan. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: Error correction codes of suitable redundancy are used for ensuring perfect data recovery in noisy channels. For iterative decoding based methods, the decoder needs to be initialized with proper confi ... more

2009

  1. Elisa Drelie Gelasca, Boguslaw Obara, Dmitry Fedorov, Kristian Kvilekval and B. S. Manjunath,
    “A biosegmentation benchmark for evaluation of bioimage analysis methods”,
    BMC Bioinformatics, vol. 10, no. 1, pp. 368, Nov. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: Background: We present a biosegmentation benchmark that includes infrastructure, datasets with associated ground truth, and validation methods for biological image analysis. The primary motivation for ... more
  2. Zefeng Ni, Dong Tian, Sitaram Bhagavathy, Joan Llach and B. S. Manjunath,
    “Improving The Quality of Depth Image Based Rendering for 3D Video Systems”,
    IEEE International Conference on Image Processing, 2009, pp. 513-516, Cairo, Egypt, Nov. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: In 3D Video (3DV) applications, a reduced number of views plus depth maps are transmitted or stored. When there is a need to render virtual views in between the actual views, the technique of depth im ... more
  3. A. Sarkar and B. S. Manjunath,
    “Double Embedding in the Quantization Index Modulation Framework”,
    International Conference on Image Processing, 2009, pp. 3653 - 3656, Cairo, Egypt, Nov. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this paper, we perform double embedding in the quantization index modulation (QIM) framework where a single coefficient is modified twice, using two quantizers, to embed two bits. The motivation be ... more
  4. L. Nataraj, A. Sarkar and B. S. Manjunath,
    “Adding Gaussian Noise to Denoise JPEG for detecting Image Resizing”,
    International Conference on Image Processing, 2009, pp. 1493-1496, Cairo, Egypt, Nov. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this paper, we propose robust methods to detect image resizing. A common problem affecting most resizing detection algorithms is that they are susceptible to JPEG compression attacks. The reason is ... more
  5. M.E. Sargin, L. Bertelli, B.S. Manjunath and K. Rose,
    “Probabilistic Occlusion Boundary Detection on Spatio-Temporal Lattices”,
    12th IEEE International Conference on Computer Vision,, Kyoto, Japan, Oct. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this paper, we present an algorithm for occlusion boundary detection. The main contribution is a probabilistic detection framework defined on spatio-temporal lattices, which enables joint analysis ... more
  6. Pratim Ghosh, Mehmet Emre Sargin, and B.S. Manjunath,
    “Robust Dynamical Model for Simultaneous Registration and Segmentation in a Variational Framework: A Bayesian Approach”,
    12th IEEE International Conference on Computer Vision, Kyoto, Japan, Oct. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian formulation. A linear ... more
  7. B. Gretarsson, J. O'Donovan, S. Bostandjiev and T. Hollerer,
    “WiGis: A Framework for Scalable Web-based Interactive Graph Visualizations”,
    17th International Symposium on Graph Drawing, Chicago, Il., Sep. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview:  
  8. Anindya Sarkar, Lakshmanan Nataraj and B. S. Manjunath,
    “Robust Key-point based Data Hiding”,
    VRL, ECE, University of California, Santa Barbara, Sep. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a robust data-hiding method which can survive a host of global, geometric and image editing attacks. Localized redundant embedding around multiple key-point centered regions are used to pro ... more
  9. Anindya Sarkar, Lakshmanan Nataraj and B. S. Manjunath,
    “Detection of Seam Carving and Localization of Seam Insertions in Digital Images”,
    11th ACM Workshop on Multimedia and Security, pp. 107-116, Princeton, New Jersey, Sep. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: "Seam carving" is a recently introduced content aware image resizing algorithm. This method can also be used for image tampering. In this paper, we explore techniques to detect seam carving ... more
  10. J. O'Donovan, B. Gretarsson, S. Bostandjiev, T. Hollerer and B. Smyth,
    “A Visual Interface for Social Information Filtering”,
    International Conference on Social Computing, pp. 74–81, Vancouver, Canada, Aug. 2009.
    [abstract] [PDF] [BibTex]
  11. J. Kleban, E. Moxley, J. Xu, and B. S. Manjunath,
    “Global Annotation of Georeferenced Photographs”,
    Proceedings of ACM Conference on Image and Video Retrieval, Greece, Jul. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present an efficient world-scale system for providing automatic annotation on collections of geo-referenced photos. As a user uploads a photograph a place of origin is estimated from visual feature ... more
  12. E. Moxley, J. Kleban, J. Xu, and B. S. Manjunath,
    “Not All Tags Are Created Equal: Learning Flickr Tag Semantics for Global Annotation.”,
    Proceedings of IEEE International Conference on Multimedia and Expo, New York, Jun. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: Large collaborative datasets offer the challenging opportunity of creating systems capable of extracting knowledge in the presence of noisy data. In this work we explore the ability to automatically l ... more
  13. J. Kleban, E. Moxley, and B. S. Manjunath,
    “SpiritTagger: A Location-Aware Interactive Web Tool for Annotating Your Photo Collection.”,
    The Future of Interactive Media: Workshop on Media Arts, Science, and Technology (MAST), Santa Barbara, CA, Jan. 2009.
    [abstract] [PDF] [BibTex]
    Abstract preview: Digital photos are an important aspect of the modern multimedia experience. The contributions of online collaborative communities can now be leveraged for the task of automated image annotation. We pr ... more

2008

  1. Anindya Sarkar, Upamanyu Madhow and B. S. Manjunath,
    “Estimating the Redundancy Factor for RA-encoded sequences and also Studying Steganalysis Performance of YASS”,
    VRL, ECE, University of California, Santa Barbara, Dec. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Our recently introduced JPEG steganographic method called Yet Another Steganographic Scheme (YASS) can resist blind steganalysis by embedding data in the discrete cosine transform (DCT) domain in rand ... more
  2. Michael James Quinn,
    “Toward Persistent Tracking and Identification in Camera Sensor Networks”,
    Ph.D. Thesis, University of California, Santa Barbara, Dec. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: In recent years, research in the area of camera sensor networks has accelerated dramatically with the increased availability of cheap sensing, processing, and communications hardware. Design, implemen ... more
  3. Alphan Altinok, Erkan Kiris, Emre Sargin, Leslie Wilson, Stuart C. Feinstein, B.S. Manjunath and Kenneth Rose,
    “Quantification of dynamic behavior of microtubules in living cells using novel computational methods”,
    38th Annual Meeting of Society for Neuroscience (SfN), Washington, DC, USA, Nov. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Studies of MT dynamic instability in living cells require MT tip tracking, data analysis and calculation of dynamics statistics. Generally, these tasks are performed manually. Investigators manually f ... more
  4. E. Kiris, M. R. Gaylord, D. Ventimiglia, A. Altinok, M.E. Sargin, K. Rose, B.S. Manjunath, M. A. Jordan, L. Wilson and S. C. Feinstein,
    “Effects of tau pseudo-phosphorylation at residues thr231 ser262 ser396 and ser404 upon regulation of microtubule dynamic instability in living cells”,
    38th Annual Meeting of Society for Neuroscience (SfN), Washington, DC, USA, Nov. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Tau is a neural specific microtubule associated protein that is crucial for the proper development and maintenance of the nervous system. Mechanistically, tau binds directly to microtubules (MT), prom ... more
  5. Xavier Anguera, JieJun Xu and Nuria Oliver,
    “Multimodal Photo Annotation and Retrieval on a Mobile Phone”,
    ACM International Conference on Multimedia Information Retrieval (MIR2008), Vancouver, Canada, Oct. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Mobile phones are becoming multimedia devices. It is common to observe users capturing photos and videos on their mobile phones on a regular basis. As the amount of digital multimedia content expands, ... more
  6. Emily Moxley, Jim Kleban and B.S. Manjunath,
    “SpiritTagger: A Geo-Aware Tag Suggestion Tool Mined from Flickr”,
    ACM International Conference on Multimedia Information Retrieval (MIR2008), pp. 24-30, Vancouver, Canada, Oct. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Geographically referenced, or "geo-tagged", photo data sets offer tantalizing potential for automated knowledge discovery in the world. By combining tag reranking based on geographic context ... more
  7. Marco Zuliani, Luca Bertelli, B. S. Manjunath,
    “An Automatic Method to Learn and Transfer the Photometric Appearance of Partially Overlapping Images”,
    Proc. IEEE International Conference on Image Processing, pp. 493-496, San Diego, CA, Oct. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: The first major contribution of this paper is a robust method to learn the photometric mapping between the overlapping portions of two registered images acquired either under different lighting condit ... more
  8. Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath, Upamanyu Madhow,
    “Estimation of Optimum Coding Redundancy and Frequency Domain Analysis of Attacks for YASS - a Randomized Block Based Hiding Scheme”,
    Proc. IEEE International Conference on Image Processing, pp. 1292-1295, San Diego, CA, Oct. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Our recently introduced JPEG steganographic method called Yet Another Steganographic Scheme (YASS) can resist blind steganalysis by embedding data in the discrete cosine transform (DCT) domain in rand ... more
  9. Luca Bertelli, Pratim Ghosh, B. S. Manjunath, Frederic Gibou,
    “Reference-based Probabilistic Segmentation as Non-Rigid Registration using Thin Plate Splines”,
    Proc. IEEE International Conference on Image Processing, pp. 3052-3055, San Diego, CA, Oct. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this paper we demonstrate the effectiveness of reference (or atlas)-based non-rigid registration to the segmentation of medical and biological imagery. In particular we introduce a segmentation fun ... more
  10. Michael J. Quinn and Thomas Kuo and B.S. Manjunath,
    “A Lightweight Multiview Tracked Person Descriptor for Camera Sensor Networks”,
    Proc. IEEE International Conference on Image Processing, pp. 1976-1979, San Diego, CA, Oct. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present a simple multiple view 3D model for object tracking and identification in camera networks. Our model is composed of 8 distinct views in the interval [0, 7*PI/4]. Each of the 8 parts describ ... more
  11. M.E. Sargin, A. Altinok, K. Rose, B.S. Manjunath,
    “Conditional Iterative Decoding of Two Dimensional Hidden Markov Models”,
    Proc. IEEE International Conference on Image Processing, pp. 2552-2555, San Diego, CA, Oct. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Two Dimensional HiddenMarkovModels (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, including segmentation and ... more
  12. Nhat Vu and B.S. Manjunath,
    “Graph Cut Segmentation of Neuronal Structures from Transmission Electron Micrographs”,
    Proc. IEEE International Conference on Image Processing, pp. 725-728, San Diego, CA, Oct. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: In many neurophysiological studies, understanding the neuronal circuitry of the brain requires detailed 3D models of the nerve cells and their synapses. Typically, researchers build the 3D models by m ... more
  13. Elisa Drelie Gelasca, Jiyun Byun, Boguslaw Obara, B.S. Manjunath,
    “Evaluation and Benchmark for Biological Image Segmentation”,
    IEEE International Conference on Image Processing, pp. 1816-1819, San Diego, CA, Oct. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper describes ongoing work on creating a benchmarking and validation dataset for biological image segmentation. While the primary target is biological images, we believe that the dataset would ... more
  14. Nhat Bao Sinh Vu,
    “Image Segmentation with Semantic Priors: A Graph Cut Approach”,
    Ph.D. Thesis, University of California, Santa Barbara, Sep. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Image segmentation is the partitioning of an image into meaningful regions or pixel groups and is a necessary prerequisite for many higher level computer vision tasks, such as object recognition, scen ... more
  15. M. Quinn, R. Mudumbai, T. Kuo, Z. Ni, C. De Leo and B. S. Manjunath,
    “VISNET: A Distributed Vision Testbed”,
    ACM/IEEE International Conference on Distributed Smart Cameras, 2008, pp. 364-371, Vienna, Sep. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: We introduce UCSB�s Visual Sensor Network (VISNET) and discuss current research being conducted with the system. VISNET is a ten-node experimental camera network at UCSB used for various vision-r ... more
  16. Luca Bertelli, Baris Sumengen, B.S. Manjunath and Frederic Gibou,
    “A Variational Framework for Multi-Region Pairwise Similarity-based Image Segmentation”,
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 8, pp. 1400-1414, Aug. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Variational cost functions that are based on pairwise similarity between pixels can be minimized within level set framework resulting in a binary image segmentation. In this paper we extend such cost ... more
  17. Jim Kleban, Xing Xie, Wei-Ying Ma,
    “Spatial Pyramid Mining For Logo Detection in Natural Scenes”,
    Proc. IEEE International Conference on Multimedia and Expo (ICME), Hannover, Germany, Jun. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: This work introduces a novel data mining scheme, spatial pyramid mining, to discover association rules at multiple resolutions in order to identify frequent spatial configurations of local features th ... more
  18. Emily Moxley and Tao Mei and Xian-Sheng Hua and Wei-Ying Ma and B.S. Manjunath,
    “Automatic Video Annotation Through Search and Mining”,
    Proc. IEEE International Conference on Multimedia and Expo (ICME), Hannover, Germany, Jun. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Conventional approaches to video annotation predominantly focus on supervised identification of a limited set of concepts, while unsupervised annotation with infinite vocabulary remains unexplored. Th ... more
  19. Nhat Vu and B.S. Manjunath,
    “Shape Prior Segmentation of Multiple Objects with Graph Cuts”,
    IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, USA, Jun. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present a new shape prior segmentation method using graph cuts capable of segmenting multiple objects. The shape prior energy is based on a shape distance popular with level set approaches. We also ... more
  20. Anindya Sarkar, Vishwakarma Singh, Pratim Ghosh, B. S. Manjunath, Ambuj Singh,
    “Duplicate Video Detection - Comparison of Proposed Distance Function with Dynamic Time Warping and Dependence of Detection Accuracy on Keyframe Selection”,
    VRL Technical Report, University of California, Santa Barbara, May. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: The problem we are considering here is duplicate video detection. We have a database of N videos and we store compact signatures, called fingerprints, for each of them. When a query video is presented ... more
  21. M. E. Sargin, A. Altinok, K. Rose and B.S. Manjunath,
    “Deformable Trellis: Open Contour Tracking in Bio-Image Sequences”,
    IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'08), Las Vegas, USA, Apr. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper presents an open contour tracking method that employs an arc-emission Hidden Markov Model (HMM). The algorithm encodes the shape information of the structure in a spatially deformable trell ... more
  22. Anindya Sarkar, Vishwakarma Singh, Pratim Ghosh, B. S. Manjunath and Ambuj Singh,
    “Discussion of a Pruning Scheme for Top-K Retrievals Among Vector Quantizer Encoded Signatures”,
    VRL, ECE, University of California, Santa Barbara, Apr. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: The problem we are considering here is duplicate video detection. We have a database of N videos and we store compact signatures, called fingerprints, for each of them. When a query video is presented ... more
  23. Laura E. Boucheron,
    “Object- and Spatial-Level Quantitative Analysis of Multispectral Histopathology Images for Detection and Characterization of Cancer”,
    Ph.D. Thesis, University of California, Santa Barbara, Mar. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: The main goal of this dissertation is the development and discussion of techniques for higher-level image analysis, i.e., object-level analysis, of breast cancer imagery. Established cytologic (cell) ... more
  24. M. Zuliani, L. Bertelli, C. Kenney and B. S. Manjunath,
    “Drums, curve descriptors, and affine invariant region matching”,
    Image and Vision Computing, vol. 26, no. 3, pp. 347-360, Mar. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this paper we present a new physically motivated curve/region descriptor based on the solution of Helmholtz's equation. The descriptor we propose satisfies the six principles set by MPEG-7: it ... more
  25. Laura E. Boucheron, Neal R. Harvey, and B. S. Manjunath,
    “On Using Cytoplasm and Stroma Features in Automated Cancer Diagnosis”,
    Workshop on Bio-Image Informatics: Biological Imaging, Computer Vision and Data Mining, Santa Barbara, CA, USA, Jan. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: The utility of nuclear features for automated cancer diagnosis has been well established. Use of cytoplasm and stroma features, however, has not been addressed in an computeraided diagnosis system, al ... more
  26. Jiyun Byun, DeeAnn Hartung, Stuart Feinstein and B. S. Manjunath,
    “Quantifying Cell Viability in Cultured Cells”,
    Workshop on Bio-Image Informatics: Biological Imaging, Computer Vision and Data Mining, Santa Barbara, CA, USA, Jan. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Analyzing cell viability is crucial in understanding the underlying molecular mechanisms of disease. With more than 20 million cases worldwide, Alzheimer's disease (AD) is now the most common neu ... more
  27. Boguslaw Obara, Michael Veeman, William Smith and B.S. Manjunath,
    “Segmentation and analysis of notochord cells in 3D microscope data”,
    Workshop on Bio-Image Informatics: Biological Imaging, Computer Vision and Data Mining, Santa Barbara, CA, USA, Jan. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: The notochord is an embryonic structure that undergoes dramatic cell shape changes as it itself changes shape from a roughly isodiametric primordium of mesenchymal cells to a long extended rod. Ascidi ... more
  28. Boguslaw Obara, Jiyun Byun, Dmitry Fedorov and B. S. Manjunath,
    “Automatic nuclei detection and dataflow in Bisquik system”,
    Workshop on Bio-Image Informatics: Biological Imaging, Computer Vision and Data Mining, Santa Barbara, CA, USA, Jan. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Identification of cell nuclei is a fundamental operation,and nuclei centroids are used in a wide gamut of biological and medical analysis. Many methods exist for semi-automated and automated counting ... more
  29. Elisa Drelie Gelasca, Jiyun Byun, Boguslaw Obara and B.S. Manjunath,
    “Benchmark for evaluating biological image analysis tools”,
    Workshop on Bio-Image Informatics: Biological Imaging, Computer Vision and Data Mining, Santa Barbara, CA, USA, Jan. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: Biological images are critical components for a detailed understanding of the structure and functioning of cells and proteins. Image processing and analysis tools increasingly play a significant role ... more
  30. Anindya Sarkar, Pratim Ghosh, Emily Moxley and B. S. Manjunath,
    “Video Fingerprinting: Features for Duplicate and Similar Video Detection and Query-based Video Retrieval”,
    SPIE - Multimedia Content Access: Algorithms and Systems II, San Jose, California, Jan. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: A video "fingerprint" is a feature extracted from the video that should represent the video compactly, allowing faster search without compromising the retrieval accuracy. Here, we use a keyf ... more
  31. Anindya Sarkar, Kaushal Solanki and B. S. Manjunath,
    “Further Study on YASS: Steganography Based on Randomized Embedding to Resist Blind Steganalysis”,
    SPIE - Security, Steganography, and Watermarking of Multimedia Contents (X), San Jose, California, Jan. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present further extensions of yet another steganographic scheme (YASS), a method based on embedding data in randomized locations so as to resist blind steganalysis. YASS is a JPEG steganographic te ... more
  32. A. Sarkar, K. Sullivan and B. S. Manjunath,
    “Steganographic Capacity Estimation for the Statistical Restoration Framework”,
    SPIE - Security, Steganography, and Watermarking of Multimedia Contents (X), San Jose, California, Jan. 2008.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this paper we attempt to quantify the "active" steganographic capacity - the maximum rate at which data can be hidden, and correctly decoded, in a multimedia cover subject to noise/attack ... more

2007

  1. Laura E. Boucheron, Neal R. Harvey and B.S. Manjunath,
    “A Quantitative Object-Level Metric for Segmentation Performance and Its Application to Cell Nuclei”,
    International Symposium on Visual Computing (ISVC), pp. 208-219, Lake Tahoe, Nevada/California, Nov. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present an object-level metric for segmentation performance which was developed to quantify both over- and under-segmentation errors, as well as to penalize segmentations with larger deviations in ... more
  2. A. Altinok, E. Sargin, E. Kiris, L. Wilson, S. C. Feinstein, B.S. Manjunath and K. Rose,
    “Segmenting filamentous biological structures by automated tracing”,
    Society for Neuroscience Annual Meeting (SfN), San Diego, CA, Nov. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: Currently, biological image analysis generally relies on manual segmentation of objects and subsequent quantification of desired features. In the case of filamentous structures, such as cytoskeletal s ... more
  3. E. Kiris, M. R. Gaylord, J. Reifert, M.E. Sargin, A. Altinok, K. Rose, B.S. Manjunath, M. A. Jordan, L. Wilson and S. C. Feinstein,
    “Effects of combinatorial tau pseudophosphorylation upon microtubule binding assembly andthe regulation of dynamic instability in vitro”,
    Society for Neuroscience (SfN), San Diego, CA, USA, Nov. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: Tau is a neural specific microtubule-associated protein that is crucial for the proper development and maintenance of the nervous system. Mechanistically, tau binds directly to microtubules, promotes ... more
  4. E. Drelie Gelasca, S. Joshi, J. Kleban, S. Mangiat, B.S. Manjunath, E. Moxley, A. Sarkar, and J. Xu,
    “The Vision Research Lab of UCSB at TRECVID 2007”,
    Proceedings of the TRECVID 2007 Workshop, Nov. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: The Vision Research Lab at the University of California at Santa Barbara participated in three TRECVID 2007 tasks: rushes summarization, high level feature extraction, and search. This paper describes ... more
  5. Alphan Altinok, B. S. Manjunath and Kenneth Rose,
    “Extracting Dynamic Microtubule Features from Image Sequences”,
    Asilomar Conference On Signals, Systems and Computers (ACSSC), Monterey, CA, Nov. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: Microtubules (MT) are filamentous cytoskeletal structures composed of tubulin protein subunits. Through their dynamic behaviors, they participate in many essential cellular functions. MT dynamics are ... more
  6. Pratim Ghosh, E. Drelie Gelasca, K.R. Ramakrisnan and B.S. Manjunath,
    “Duplicate Image Detection in Large Scale Databases”,
    Book Chapter in Platinum Jubilee Volume, Indian Statistical Institute, Kolkata, Oct. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose an image duplicate detection method for identifying modified copies of the same image in a very large database. Modifications that we consider include rotation, scaling and cropping. A comp ... more
  7. Luca Bertelli, Marco Zuliani and B.S. Manjunath,
    “Pairwise Similarities across Images for Multiple View Rigid/Non-Rigid Segmentation and Registration”,
    IEEE International Conference on Computer Vision (ICCV07), Rio de Janeiro, Brazil, Oct. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: A variational approach for the background/foreground segmentation of multiple views of the same scene is presented. The main novelty is the introduction of cost functions based on pairwise similarity ... more
  8. J. Kleban, A. Sarkar, E. Moxley, S. Mangiat, S. Joshi, T. Kuo and B.S. Manjunath,
    “Feature fusion and redundancy pruning for rush video summarization”,
    International Workshop on TRECVID Video Summarization, pp. 84-88, Augsburg, Bavaria, Germany, Sep. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper presents a video summarization technique for rushes that employs high-level feature fusion to identify segments for inclusion. It aims to capture distinct video events using a variety of fe ... more
  9. Luca Bertelli and B.S. Manjunath,
    “Edge Preserving Filters Using Geodesic Distances on Weighted Orthogonal Domains”,
    IEEE International Conference on Image Processing 2007 (ICIP07), San Antonio, TX, Sep. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: We introduce a framework for image enhancement, which smooths images while preserving edge information. Domain (spatial) and range (feature) information are combined in one single measure in a princip ... more
  10. M. E. Sargin, A. Altinok, K. Rose and B.S. Manjunath,
    “Tracing Curvilinear Structures in Live Cell Images”,
    IEEE International Conference on Image Processing (ICIP 07), San Antonio, TX, Sep. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: Tracing of curvilinear structures is one of the fundamental tools in the quantitative analysis of biological images, for extracting information about structures such as blood vessels, neurons, microtu ... more
  11. L. Bertelli, Jiyun Byun and B.S. Manjunath,
    “A Variational Approach to Exploit Prior Information in Object-Background Segregation: Application to Retinal Images”,
    IEEE International Conference on Image Processing (ICIP 07), San Antonio, TX, Sep. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: One of the main challenges in image segmentation is to adapt prior knowledge about the objects/regions that are likely to be present in an image, in order to obtain more precise detection and recognit ... more
  12. Elisa Drelie Gelasca, Joriz De Guzman, Steffen Gauglitz, Pratim Ghosh, JieJun Xu, Emily Moxley, Amir M. Rahimi, Zhiqiang Bi and B. S. Manjunath,
    “CORTINA: Searching a 10 Million + Images Database”,
    VRL, ECE, University of California, Santa Barbara, Sep. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present an image search and retrieval system, Cortina, that indexes over 10 Million images using image content, text and annotations. This large collection of image data, gathered from the World Wi ... more
  13. Nhat Vu, and Pratim Ghosh and B.S Manjunath,
    “Retina layer segmentation and spatial alignment of antibody expression levels”,
    International Conference on Image Processing (ICIP'07), San Antonio, Texas, Sep. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: The expression levels of rod opsin and glial fibrillary acidic protein (GFAP) capture important structural changes in the retina during injury and recovery. Quantitatively measuring these expression l ... more
  14. A. Sarkar and B. S. Manjunath,
    “Estimating Steganographic Capacity for Odd-Even Based Embedding and its Use in Individual Compensation”,
    IEEE International Conference on Image Processing (ICIP), San Antonio, TX, Sep. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present a method to compute the steganographic capacity for images, with odd-even based hiding in the quantized discrete cosine transform domain. The method has been generalized for varying orders ... more
  15. A. Sarkar, K. Solanki and B. S. Manjunath,
    “Secure Steganography: Statistical Restoration in the Transform Domain with Best Integer Perturbations to Pixel Values”,
    IEEE International Conference on Image Processing (ICIP), San Antonio, Texas, Sep. 2007.
    [abstract] [PDF] [BibTex]
  16. Alphan Altinok, Erkan Kiris, Austin Peck, Stuart Feinstein, Leslie Wilson, B. S. Manjunath and Kenneth Rose,
    “Model based dynamics analysis in live cell microtubule images”,
    BMC Cell Biology, vol. 8, BioMed Central, Jul. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: Background: The dynamic growing and shortening behaviors of microtubules are central to the fundamental roles played by microtubules in essentially all eukaryotic cells. Traditionally, microtubule beh ... more
  17. Laura E. Boucheron, Zhiqiang Bi, Neal R. Harvey, B. S. Manjunath, David L. Rimm,
    “Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery”,
    BMC Cell Biology, vol. 8, BioMed Central, Jul. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: Background: We present an analysis of the utility of multispectral versus standard RGB imagery for routine H&E stained histopathology images, in particular for pixel-level classification of nuclei ... more
  18. Jiyun Byun,
    “Quantitative Analysis and Modeling of Confocal Retinal Images”,
    Ph.D. Thesis, University of California, Santa Barbara, Jun. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: Images have become critical components for a detailed understanding of the structure and function of cells and proteins. For example, confocal microscopy images are used to obtain a better understandi ... more
  19. Kaushal Solanki, Anindya Sarkar and B. S. Manjunath,
    “YASS: Yet Another Steganographic Scheme that Resists Blind Steganalysis”,
    9th International Workshop on Information Hiding, Saint Malo, Brittany, France, Jun. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: A new, simple, approach for active steganography is pro- posed in this paper that can successfully resist recent blind steganaly- sis methods, in addition to surviving distortion constrained attacks. ... more
  20. M.E. Sargin, A. Altinok, E. Kiris, L. Wilson, S. Feinstein, K. Rose and B.S. Manjunath,
    “Tracing Microtubules in Live Cell Images”,
    IEEE International Symposium on Biomedical Imaging (ISBI'07), Metro Washington DC, USA, Apr. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: Microtubule (MT) dynamics are traditionally analyzed from time lapse images by manual techniques that are laborious, approximate and often limited. Recently, computer vision techniques have been appli ... more
  21. A. Sarkar, K. Solanki, U. Madhow, S. Chandrasekaran and B. S. Manjunath,
    “Secure Steganography: Statistical Restoration of the Second Order Dependencies for Improved Security”,
    32nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, Hawaii, Apr. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present practical approaches for steganography that can provide improved security by closely matching the second-order statistics of the host rather than just the marginal distribution. The methods ... more
  22. Vebjorn Ljosa and Ambuj K. Singh,
    “APLA: Indexing Arbitrary Probability Distributions”,
    23rd International Conference on Data Engineering (ICDE), pp. 946-955, Apr. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: The ability to store and query uncertain information is of great benefit to databases that infer values from a set of observations, including databases of moving objects, sensor readings, historical b ... more
  23. A. Sarkar, U. Madhow, S. Chandrasekaran and B. S. Manjunath,
    “Adaptive MPEG-2 Video Data Hiding Scheme”,
    SPIE Security, Steganography, and Watermarking of Multimedia Contents IX, Jan. 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: We have investigated adaptive mechanisms for high-volume transform-domain data hiding in MPEG-2 video which can be tuned to sustain varying levels of compression attacks. The data is hidden in the unc ... more
  24. Samuel Frame and S. Rao Jammalamadaka,
    “Generalized Mixture Models, Semi-supervised Learning, and Unknown Class Inference”,
    Advances in Data Analysis and Classification, Springer, 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this paper, we discuss Generalized Mixture Models and related Semi-supervised learning methods, and show how they can be used to provide explicit methods for unknown class inference. After a brief ... more
  25. T. Manna, G. Grenningloh, HP Miller, L. Wilson,
    “Stathmin Family Protein SCG10 Differentially Regulates the Plus and Minus ends Dynamics of Microtubules at Steady State in Vitro: Implications for its role in Neurite Outgrowth”,
    Biochemistry, vol. 46, pp. 3543-3552, 2007.
    [abstract] [BibTex]
  26. Vebjorn Ljosa and Ambuj K. Singh,
    “Top-k Spatial Joins of Probabilistic Objects”,
    Center for Bio-Image Informatics, University of California, Santa Barbara, 2007.
    [abstract] [BibTex]
  27. S.K. Fisher, M.R. Verardo, J. Byun, G.P. Lewis, G. Luna, S. Kjellstrom and P. Sieving,
    “Reduced glial hypertrophy and increased neuronal reactivity following retinal detachment in mice deficient in GFAP and vimentin.”,
    Center for Bio-Image Informatics,, University of California, Santa Barbara, 2007.
    [abstract] [BibTex]
  28. V. Singh, A. Bhattacharya, A. K. Singh, C. Banna, G. P. Lewis and S. K. Fisher,
    “QUIP: Querying Significant Patterns from Image Databases”,
    Center for Bio-Image Informatics, UCSB, 2007.
    [abstract] [PDF] [BibTex]
    Abstract preview: Images have become an extremely important dataset in many areas of science including biology, geography and astronomy due to their ability to reveal spatial information not immediately available from ... more
  29. A. Bhattacharya and S. C. Feinstein and A. LeBoeuf and S. Levy and A. K. Singh and L. Wilson,
    “A General Modeling and Visualization Tool for Comparing Different Members of a Group: Application to Understanding Tau-Mediated Regulation of Microtubule Dynamics”,
    Center for Bio-Image Informatics, UCSB, 2007.
    [abstract] [BibTex]

2006

  1. E. Kiris, M. Massie, A. Altinok, K. Rose, M.A. Jordan, L. Wilson and S.C. Feinstein,
    “Effects of tau pseudophosphorylation at residues ser262 ser396 andser404 upon microtubule binding and assembly in vitro”,
    American Society for Cell Biology (ASCB), San Diego, CA, USA, Dec. 2006.
    [abstract] [BibTex]
  2. Vebjorn Ljosa and Ambuj K. Singh,
    “Probabilistic Segmentation and Analysis of Horizontal Cells”,
    2006 IEEE International Conference on Data Mining (ICDM), pp. 980-985, Dec. 2006.
    [abstract] [PDF] [BibTex]
    Abstract preview: Because images of neurons show interweaved processes from multiple cells, it is hard to determine which pixels belong to each cell, and consequently to analyze the images automatically. To manage thes ... more

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