Primary tabs

Retrieved Entries: 461 [» Advanced search reports]

1997

  1. J. F. Winkeler and B. S.Manjunath,
    “Genetic programming for object detection”,
    Genetic Programming 1997 Conference, pp. 330-335, Stanford, CA, USA, Jul. 1997.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper examines genetic programming as a machine learning technique in the context of object detection. Object detection is performed on image features and on gray-scale images themselves, with di ... more
  2. N. Strobel, S. K. Mitra and B. S. Manjunath,
    “Progressive Resolution Transmission and Lossless Compression of Color Images for Digital Image Libraries”,
    13th International Conference on Digital Signal Processing, vol. 1, pp. 435-438, Santorini, Greece, Jul. 1997.
    [abstract] [PDF] [BibTex]
    Abstract preview: Progressive-resolution transmission is of significant practical importance for online image libraries. When combined with reversible image compression, it provides a particularly promising framework w ... more
  3. R. Gandhi and S. K. Mitra,
    “Aliasing cancelation in block filters and periodically time varying systems: a time-domain approach”,
    IEEE International Symposium on Circuits and Systems (ISCAS'97), pp. 2421-2424, Hong Kong, Jun. 1997.
    [abstract] [PDF] [BibTex]
    Abstract preview: A block filter, in general, is a linear, periodic and time-varying (LPTV) system. Under certain conditions satisfied by the transfer function matrix of the filter, the system has an alias free operat ... more
  4. W. Y. Ma and B. S. Manjunath,
    “Edge flow: a framework for boundary detection and image segmentation”,
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 744-749, San Juan, Puerto Rico, Jun. 1997.
    [abstract] [PDF] [BibTex]
    Abstract preview: A novel boundary detection scheme based on "edge flow" is proposed in this paper. This scheme utilizes a predictive coding model to identify the direction of change in color and tecture at ... more
  5. W. Y. Ma, Y. Deng and B. S.Manjunath,
    “Tools for texture/color based search of images”,
    SPIE Conference on Human Vision and Electronic Imaging II, vol. 3106, pp. 496-507, San Jose, CA, Feb. 1997.
    [abstract] [PDF] [BibTex]
    Abstract preview: Currently there are quite a few image retrieval systems that use color and texture as features to search images. However, by using global features these methods retrieve results that often do not ma ... more
  6. B. S. Manjunath and R. Chellappa,
    “Grouping and segmentation using neural networks: applications to edge detection, texture segmentation and face recognition”,
    Progress in Neural Networks: Machine Vision, O. M. Omidvar and R. Mohan (editors), vol. 4, Ablex Publishing Corporation, 1997.
    [abstract] [BibTex]

1996

  1. B. S. Manjunath and W. Y. Ma,
    “Browsing large satellite and aerial photographs”,
    IEEE Third International conference on image processing (ICIP'96), vol. 2, pp. 765-768, Lausanne, Switzerland, Sep. 1996.
    [abstract] [PDF] [BibTex]
    Abstract preview: In our previous work, we have developed a rate-dis-tortion (R-D) modeling framework H.263 video coding by introducing the new concepts of characteristic rate curves and rate curve decomposition. In th ... more
  2. G. Hewer, C. Kenney and B. S. Manjunath,
    “Image segmentation via functionals based on boundary functions”,
    IEEE Third international conference on Image processing (ICIP'96), vol. 1, pp. 813-816, Lausanne, Switzerland, Sep. 1996.
    [abstract] [PDF] [BibTex]
    Abstract preview: A general variational framework for image approximation and segmentation is introduced in which the boundary function has a simple explicit form in terms of the approximation function. At the same tim ... more
  3. L. M. G. Fonseca and B. S. Manjunath,
    “Registration Techniques for Multisensor Remotely Sensed Imagery”,
    Journal of Photogrammetry Engineering and Remote Sensing, vol. 62, no. 9, pp. 1049-1056, Sep. 1996.
    [abstract] [BibTex]
    Abstract preview: Image registration is one of the basic image processing operations in remote sensing. With the increase in the number of images collected every day from different sensors, automated registration of mu ... more
  4. B. S. Manjunath and W.Y. Ma,
    “Texture features for browsing and retrieval of image data (Derivation of the Gabor Filter Dictionary parameters)”,
    for PAMI - Special issue on Digital Libraries, vol. 18, no. 8, pp. 837-842, Aug. 1996.
    [abstract] [PDF] [BibTex]
    Abstract preview: Derivation of the Gabor Filter Dictionary parameters
  5. B. S. Manjunath and W.Y. Ma,
    “Texture features for browsing and retrieval of image data”,
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI - Special issue on Digital Libraries), vol. 18, no. 8, pp. 837-42, Aug. 1996.
    [abstract] [PDF] [BibTex]
    Abstract preview: Image content based retrieval is emerging as an important research area with application to digital libraries and multimedia databases. The focus or this paper is on the image processing aspects and i ... more
  6. W. Y. Ma and B. S. Manjunath,
    “Texture features and learning similarity”,
    IEEE International Conference on Computer Vision and Pattern Recognition, pp. 425-430, San Francisco, CA, Jun. 1996.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper addresses two important issues related to texture pattern retrieval: feature extraction and similarity search. A Gabor feature representation for textured images is proposed, and its perfo ... more
  7. T. Smith, D. Andresen, L. Carver, R. Dolin, C. Fischer, J. Frew, M. Goodchild, O. Ibarra, R. Kemp, R. Kothuri, M. Larsgaard, B.S. Manjunath, D. Nebert, J. Simpson, A. Wells, T. Yang and Q. Zheng,
    “A Digital library for geographically referenced materials”,
    IEEE Computer, pp. 54-60, May. 1996.
    [abstract] [PDF] [BibTex]
  8. B. S. Manjunath, C. Shekhar and R. Chellappa,
    “A new approach to image feature detection with applications”,
    Pattern Recognition, vol. 29, no. 4, pp. 627-640, Apr. 1996.
    [abstract] [PDF] [BibTex]
    Abstract preview: Image feature detection is a fundamental issue in many intermediate level vision problems such as stereo, motion correspondence, image registration, and object recognition. In this paper we present ... more
  9. W. Y. Ma and B. S. Manjunath,
    “Texture-based pattern retrieval from image databases”,
    Multimedia Tools and Applications, vol. 2, no. 1, pp. 35-52, Jan. 1996.
    [abstract] [BibTex]

1995

  1. C.W. Tsai and B.S. Manjunath,
    “Automatic Brain Image Segmentation”,
    Pattern Recognition, pp. 1825-1839, Dec. 1995.
    [abstract] [BibTex]
  2. C. Tsai, B. S. Manjunath and R. Jagadeesan,
    “Automated segmentation of brain MR images”,
    Pattern Recognition, pp. 1825-37, Dec. 1995.
    [abstract] [BibTex]
  3. G. M. Haley and B. S. Manjunath,
    “Rotation invariant texture classification using modified Gabor filters”,
    Second IEEE international conference on image processing (ICIP'95), vol. 1, pp. 262-265, Washington, D.C., Nov. 1995.
    [abstract] [PDF] [BibTex]
    Abstract preview: A method of rotation invariant texture classification based on a joint space-frequency model is introduced. Multiresolution filters, based on a truly analytic form of a polar 2-D gabor wavelet, are u ... more
  4. W. Y. Ma and B. S. Manjunath,
    “A comparison of wavelet transform features for texture image annotation”,
    Second International Conference on Image Processing (ICIP'95), vol. 2, pp. 256-259, Washington, D.C., Nov. 1995.
    [abstract] [PDF] [BibTex]
    Abstract preview: A comparison of different wavelet transform based texture features for content based search and retrieval is music. These include the conventional orthogoanl and bi-orthogonal wavelet transforms, tree ... more
  5. N. Strobel, S. K. Mitra and B. S. Manjunath,
    “An approach to efficient storage retrieval and browsing of large scale image databases”,
    SPIE conference on Image Storage and Archiving System, vol. 2606, pp. 324-335, Philadelphia, Pennsylvania, Oct. 1995.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper suggests a wavelet transform based multiresolution approach as a viable solution to the problems of storage, retrieval and browsing in a large image database. We also investigate the perf ... more
  6. T. Wiegand, M. Lightstone, T. G. Campbell and S. K. Mitra,
    “A Rate-Constrained Encoding Strategy for H.263 Video Compression”,
    International Symposium on Multimedia Communication and Video Coding, Brooklyn, NY, Oct. 1995.
    [abstract] [BibTex]
  7. T. Wiegand, M. Lightstone, T.G. Campbell and S. K..Mitra,
    “Efficient Mode Selection for Block-Based Motion Compensated Video Coding”,
    IEEE International Conference on Image Processing, pp. 559-562, Washington, D.C., Oct. 1995.
    [abstract] [BibTex]
  8. W. Y. Ma and B. S. Manjunath,
    “Image indexing using a texture dictionary”,
    SPIE conference on Image Storage and Archiving System, vol. 2606, pp. 288-298, Philadelphia, Pennsylvania, Oct. 1995.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a new method for indexing large image databases. The method incorporates neural network learning algorithms and pattern recognition techniques to construct an image pattern dictionary. Im ... more
  9. D. Andresen, L. Carver, R. Dolin, C. Fischer, J. Frew, M. Goodchild, O. Ibarra, R. Kothuri, M. Larsgaard, B. Manjunath, D. Nebert, J. Simpson, T. Smith, T. Yang and Q. Zheng,
    “The WWW prototype of the Alexandria digital library”,
    International Symposium on Digital Libraries, pp. 17-27, Tsukuba, Ibaraki, Japan, Aug. 1995.
    [abstract] [PDF] [BibTex]
    Abstract preview: The Alexandria Digital Library (ADL) is focused on providing broad access to distributed collections of spatially-indexed information. ADL has a four-component architecture involving collections, c ... more
  10. I-S Lin and S. K..Mitra,
    “Efficient 2-D FIR Filtering Algorithms Based on Overlapped Block Structure”,
    38th Midwest Symposium on Circuits and Systems, Rio de Janeiro, Brazil, Aug. 1995.
    [abstract] [BibTex]
  11. S. Thurnhofer and S. K. Mitra,
    “Designing Quadratic Volterra Filters for Nonlinear Edge Enhancement”,
    International Conference on Digital Signal Processing, pp. 320-325, Limassol, Cyprus, Jun. 1995.
    [abstract] [BibTex]
  12. S. K. Mitra, S. Thurnhofer, M. Lightstone and N. Strobel,
    “Two-Dimensional Teager Operators and their Image Processing Applications”,
    IEEE Workshop on Nonlinear Signal & Image Processing, pp. 959-962, Halkidiki, Greece, Jun. 1995.
    [abstract] [BibTex]
  13. S. Thurnhofer and S. K. Mitra,
    “Quadratic Volterra Filters with Mean-Weighted Highpass Characteristics”,
    IEEE Workshop on Nonlinear Signal & Image Processing, pp. 368-371, Halkidiki, Greece, Jun. 1995.
    [abstract] [BibTex]
  14. H. Li, B.S. Manjunath, and S.K. Mitra,
    “Image Fusion Using Wavelets”,
    Computer Vision, Graphics & Image Processing: Graphical Models and Image Processing, vol. 57, no. 3, pp. 235-245, May. 1995.
    [abstract] [BibTex]
  15. E. Abreun and S. K. Mitra,
    “Signal-Dependent Rank-Ordered Mean (SD-ROM) Filters for Removal of Impulses from Highly Corrupted Images”,
    IEEE International Conference on Acoustics, Speech & Signal Processing, pp. 2371-2374, Detroit, MI, May. 1995.
    [abstract] [BibTex]
  16. M. Lightstone, E. Abreu, S. K. Mitra and K. Arakawa,
    “State-Conditioned Rank-Ordered Filtering for Removing Impulse Noise in Images”,
    IEEE International Symposium on Circuits & Systems, pp. 957-960, Seattle, WA, May. 1995.
    [abstract] [BibTex]
  17. M. Lightstone, S. K. Mitra and K. Rose,
    “Locally Optimal Codebook Design for Quadtree-Based Vector Quantization”,
    IEEE International Conference on Acoustics, Speech & Signal Processing, pp. 2479-2482, Detroit, MI, May. 1995.
    [abstract] [BibTex]
  18. S. Bagchi and S. K. Mitra,
    “An Efficient Algorithm for DTMF Decoding Using the Subband NDFT”,
    IEEE International Symposium on Circuits & Systems, pp. 1936-1939, Seattle, WA, May. 1995.
    [abstract] [BibTex]
  19. C. D. Creusere and S. K. Mitra,
    “A Simple Method for Designing High-Quality Prototype Filters for M-band Pseudo QMF Banks”,
    IEEE Trans. on Signal Processing, vol. 43, pp. 1005-1007, Apr. 1995.
    [abstract] [BibTex]
  20. Hui Li, B. S. Manjunath and Sanjit K. Mitra,
    “A contour-based approach to multisensor image registration”,
    IEEE Transactions on Image Processing, vol. 4, no. 3, pp. 320-334, Mar. 1995.
    [abstract] [PDF] [BibTex]
    Abstract preview: Image Registration is concerned with establishment of correspondence between images of the same scene. One challenging problem in this area is the registration of multispectral multisensor images. In ... more
  21. A. D. Alexandrov, W. Y. Ma, A. El Abbadi and B. S. Manjunath,
    “Adaptive filtering and indexing for image databases”,
    SPIE Conference on Storage and Retrieval for Image and Video Databases, vol. 2420, pp. 12-23, San Jose, CA, Feb. 1995.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this paper we combine image feature extraction with indexing techniques for efficient retrieval in large texture images databases. A 2D image signal is processed using a set of Gabor filters to der ... more
  22. A. Hossen, U. Heute, O. Shentov and S. K. Mitra,
    “Subband DFT - Part II: Accuracy Complexity and Applications”,
    Signal Processing, vol. 42, no. 3, pp. 279-294, Feb. 1995.
    [abstract] [BibTex]
  23. O. Shentov, S. K. Mitra, A. Hossen and U. Heute,
    “Subband DFT - Part I: Definition Interpretation and Extensions”,
    Signal Processing, vol. 42, no. 3, pp. 261-278, Feb. 1995.
    [abstract] [BibTex]
  24. S. Bagchi and S. K. Mitra,
    “Nonseparable 2D FIR Filter Design Using Nonuniform Frequency Sampling”,
    IS&T/SPIE Symposium on Electronic Imaging: Image and Video Processing III, pp. 104-115, San Jose, Feb. 1995.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a nonuniform frequency sampling method for 2-D FIR filter design based on the concept of the nonuniform discrete Fourier transform(NDFT). The NDFT of a 2-D sequence is defined as a sequenc ... more

1994

  1. H. Li, B. S. Manjunath and S. K. Mitra,
    “Multisensor Image Fusion Using the Wavelet Transform”,
    first international conference on image processing (ICIP'94), vol. 1, pp. 51-55, Austin, Texas, Nov. 1994.
    [abstract] [PDF] [BibTex]
    Abstract preview: In the image fusion scheme presented in this paper, the wavelet transforms of the input images are appropriately combined, and the new image is obtained by taking the inverse wavelet transform of the ... more
  2. W. Y. Ma and B. S. Manjunath,
    “Pattern Retrieval in Image Databases Based on Adaptive Signal Decomposition”,
    28th Asilomar Conference on Signals, Systems and Computers, pp. 1351-1355, Pacific Grove, CA, Nov. 1994.
    [abstract] [PDF] [BibTex]
    Abstract preview: Efficient retrieval of information from image and other multimedia databases if an important and challenging problem. Among techniques developed for this purpose, query by example is the most effecti ... more
  3. B. S. Manjunath and W. Y. Ma,
    “Information Retrieval in Image Databases”,
    ISMM International conference on Multimedia Systems and Applications, pp. 6-9, Honolulu, Hawaii, Aug. 1994.
    [abstract] [BibTex]

1993

  1. C. Tsai, B. S. Manjunath and J.Crues,
    “A Model based approach to detecting spinal disk degenerations from MRI data”,
    IEEE Conference on Medical Imaging, pp. 1307-1311, San Francisco, CA, Nov. 1993.
    [abstract] [BibTex]
  2. H. Li, B. S. Manjunath and S. K. Mitra,
    “Registration of 3D multimodality medical images by curve matching”,
    IEEE Conference on Medical Imaging, pp. 1744-1748, San Francisco, Nov. 1993.
    [abstract] [PDF] [BibTex]
    Abstract preview: The 3-D multimodality brain image registration algorithm proposed in this paper is based on the matching of feature curves which are defined by the intersections of the interhemispherical fissure pla ... more
  3. H. Li, B. S. Manjunath and S. K. Mitra,
    “Optical-to-SAR image registration using the active contour approach”,
    27th Asilomar Conference on Signals, Systems and Computers, pp. 568-572, Pacific Grove, CA, Nov. 1993.
    [abstract] [BibTex]
  4. B. S. Manjunath and R. Chellappa,
    “A Unified approach to boundary perception: edges, textures and illusory contours”,
    IEEE Trans. Neural Networks, vol. 4, no. 1, pp. 96-108, Jan. 1993.
    [abstract] [PDF] [BibTex]
    Abstract preview: A model consisting of a multistage system which extracts and groups salient features in the image at different spatial scales (or frequencies) is used. In the first stage, a Gabor wavelet decomposit ... more

1992

  1. B. S. Manjunath,
    “Gabor wavelet transform and application to problems in computer vision”,
    26th Asilomar Conference on Signals, Systems and Computers, pp. 796-800, Pacific Grove, CA, Oct. 1992.
    [abstract] [PDF] [BibTex]
    Abstract preview: An important goal of early vision is to transform the intensity data to a representation more suitable for further processing. Examples of such transformations include obtaining depth information fro ... more
  2. H. Li, B. S. Manjunath and S. K. Mitra,
    “Contour based multisensor image registration”,
    26th Asilomar Conference on Signals, Systems and Computers, pp. 182-186, Pacific Grove, CA, Oct. 1992.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this paper we present a contour-based multisensor image registration scheme which uses region boundaries and other strong edges as matching primitives. Chain code correlation and other shape simil ... more
  3. B. S. Manjunath, Chandra Shekhar, R. Chellappa and C. von der Malsburg,
    “A Robust method for detecting image features with applications to face recognition and motion correspondence”,
    11th IAPR International Conference on Pattern Recognition, pp. 208-212, The Hague, Netherlands, Aug. 1992.
    [abstract] [PDF] [BibTex]
    Abstract preview: Feature detection is a fundamental issue in many intermediate level vision problems such as stereo, motion correspondence, image registration, etc. In this paper a new approach to feature detection i ... more
  4. B. S. Manjunath, R. Chellappa and C. von der Malsburg,
    “A feature based approach to face recognition”,
    IEEE Conference on Computer Vision and Pattern Recognition, pp. 373-378, Champaign, IL, Jun. 1992.
    [abstract] [PDF] [BibTex]
    Abstract preview: Face represent one of the most common visual patterns in our environment, and humans have a remarkable ability to recognize faces. Face recognition does not fit into the traditional approaches of mod ... more
  5. R. Chellappa, R.L. Kashyap and B.S. Manjunath,
    “Model-Based Texture Segmentation and Classification”,
    Handbook of Pattern Recognition and Computer Vision, C.H. Chen, L.F. Pau, and P.S.P. Wang (editors), Eds., World Scientific Publishing Company, 1992.
    [abstract] [BibTex]
  6. R. Chellappa, B. S. Manjunath and T. Simchony,
    “Texture segmentation with neural networks”,
    Neural Networks in Signal Processing (ed. B.Kosko), pp. 37-61, Prentice Hall, 1992.
    [abstract] [BibTex]
  7. R. Chellappa, R. L. Kashyap and B. S. Manjunath,
    “Model based texture segmentation and classification”,
    Handbook of Pattern Recognition and Computer Vision, C. H. Chen, L. F. Pau and P. S. P. Wang (editors), World Scientific Publishing Company, 1992.
    [abstract] [BibTex]

1991

  1. B.S. Manjunath,
    “Perceptual Grouping and Segmentation Using Neural Networks”,
    USC-SIPI Report #188, Ph.D. Thesis, University of Southern California, Dec. 1991.
    [abstract] [BibTex]
  2. Qinfen Zheng, R. Chellappa and B. S. Manjunath,
    “Balloon motion estimation using two frames”,
    25th Asilomar Conference on Signals, Systems and Computers, pp. 1057-1061, San Jose, CA, Oct. 1991.
    [abstract] [PDF] [BibTex]
    Abstract preview: A computational vision approach is presented for the estimation of 2-D translation, rotation, and scale from two partially overlapping images. An illuminant direction estimation method is first used ... more
  3. B.S. Manjunath, P.B. Chou and R.S Jaffe,
    “Optical Detection of Defects in Semiconductor Wafers Using Technical Artificial Neural Networks”,
    Unpublished IBM Internal Report, Aug. 1991.
    [abstract] [BibTex]
  4. B. S. Manjunath and R. Chellappa,
    “A Computational model for Boundary Perception”,
    IEEE Conference on Computer Vision and Pattern Recognition, pp. 358-363, Hawaii, Jun. 1991.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper presents a unified approach to boundary perception. The model consists of a hierarchical system which extracts and groups salient features in the image at different spatial scales. In the f ... more
  5. B. S. Manjunath and R. Chellappa,
    “Unsupervised Texture Segmentation Using Random Field Models”,
    IEEE Transactions Pattern Analysis Machine Intelligence (PAMI), vol. 13, no. 5, pp. 478-483, May. 1991.
    [abstract] [BibTex]
  6. A. Rangarajan, R. Chellappa and B. S. Manjunath,
    “Markov Random Fields and Neural Networks with applications to Early Vision Problems”,
    Artificial Neural Networks and Statistical Pattern Recognition (ed. I. Sethi), pp. 155-174, Elsevier Science Publishers, 1991.
    [abstract] [BibTex]

1990

  1. B. S. Manjunath, T. Simchony and R. Chellappa,
    “Stochastic and deterministic networks for texture segmentation”,
    IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 38, no. 6, pp. 1039-49, Jun. 1990.
    [abstract] [PDF] [BibTex]
    Abstract preview: This appear describes several texture segmentation algorithm based on deterministic and stochastic relaxation principles, and their implementation on parallel networks. The segmentation problem is pos ... more

1988

  1. B. S. Manjunath and R.Chellappa,
    “Stochastic learning networks for texture segmentation”,
    22nd Asilomar Conference on Signals and Systems, pp. 511-516, Pacific Grove, CA, Nov. 1988.
    [abstract] [PDF] [BibTex]
    Abstract preview: Several texture segmentation algorithms based on deterministic and stochastic relaxation principles, and their implementation on parallel networks are described. The segmentation process is posed as a ... more

Pages