Abstract preview: Capturing and organizing vast volumes of images, such as scientific and medical data, requires new information processing techniques for context of pattern recognition and data mining. In content base ... more

Abstract preview: Information technology research has played a significant role in the genomics revolution over the past decade, from aiding with large-scale sequence assembly to automating gene identification to effic ... more

Abstract preview: Recent advances in processing and networking capabilities of computers have led to an accumulation of immense amounts of multimedia data such as images. One of the largest repositories for such data i ... more

Abstract preview: PURPOSE. To develop a digital library of immunofluorescence images of vertebrate retina. The long-term objective is to provide new imaging and information processing technologies allowing the creation ... more

Abstract preview: We present here an implementation of NeTra, a prototype image retrieval system that uses color, texture, shape and spatial location information in segmented image regions to search and retrieve simila ... more

Abstract preview: This paper presents a study of different methods of using incremental evolution with genetic programming. Incremental evolution begins with a population already trained for a simpler but related task. ... more

Abstract preview: Creation of digital iamge and video libraries poses several interesting and challenging problems. New tools are needed for managing such as multimedia content. These include methods to search, retriev ... more

Abstract preview: The management of images, video, and in general, multi- media data, is an improtant issue in the design of digital libraries. In particular, the following problems stand out: efficient storage, fast r ... more

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

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

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

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

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

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

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

Abstract preview: We propose a novel, simple and effective method to integrate lesion prior and a 3D U-Net for improving brain tumor segmentation. First, we utilize the ground-truth brain tumor lesions from a group of ... more

Abstract preview: The volume of stroke lesion is the gold standard for predicting the clinical outcome of stroke patients. However, the presence of stroke lesion may cause neural disruptions to other brain regions, and ... more

Abstract preview: In this work, we utilize T1-weighted MR images and StackNet to predict fluid intelligence in adolescents. Our framework includes feature extraction, feature normalization, feature denoising, feature s ... more

Abstract preview: Normal Pressure Hydrocephalus (NPH) is one of the few reversible forms of dementia. Due to their low cost and versatility, Computed Tomography (CT) scans have long been used as an aid to help diagnose ... more

Abstract preview: This paper introduces a novel methodology to integrate human brain connectomics and parcellation for brain tumor segmentation and survival prediction. For segmentation, we utilize an existing brain pa ... more

Abstract preview: We present an unsupervised three-dimensional feature clustering algorithm to gather the mTOP2016 challenge data into 3 groups. We use the brain MR-T1, diffusion tensor fractional anisotropy, and diffu ... more

Abstract preview: We present a novel framework for querying multi-modal data from a heterogeneous database containing images, textual tags, and GPS coordinates. We construct a bi-layer graph structure using localized i ... more

Abstract preview: An approach to image retrieval using spatial configurations is presented. The goal is to search the database for images that contain similar objects (image-patches) with a given configuration, size an ... more

Abstract preview: In a wide-area camera network, cameras are often placed such that their views do not overlap. Collaborative tasks such as tracking and activity analysis still require discovering the network topology ... more

Abstract preview: Continental margins are dynamic, heterogeneous settings that can include canyons, seamounts, and banks. Two of the largest canyons in the world, Zhemchug and Pribilof, cut into the edge of the contine ... more

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

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

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

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

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

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

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

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

Abstract preview: Quantifying the deformation of retinal tissue after injury is crucial in understanding and characterizing the functional effect of cellular changes. We present a novel method to compute multiple quant ... more

Abstract preview: Our paper will present an analysis of the utility of multispectral imagery versus standard RGB imagery for routine H&Estained histopathology imagery, in particular for the classification of histol ... more

Abstract preview: This paper presents an overview of our recent work on managing image and video data. The first half of the paper describes a representation for the semantic spatial layout of video frames. In particul ... more

Abstract preview: Effectiveness and efficiency are two important concerns in using multimedia descriptors to search and access database items. Both are affected by the dimensionality of the descriptors. While higher di ... more

Abstract preview: We introduce the problem of repetitive nearest neighbor search in relevance feedback and propose an efficient search scheme for high dimensional feature spaces. Relevance feedback learning is a popula ... more

Abstract preview: This paper describes a framework for applying traditional data mining techniques to the non-traditional domain of image datasets for the purpose of knowledge discovery. In particular, perceptual assoc ... more

Abstract preview: This work introduces a conceptual representation for com-plex spatial arrangements of image features in large multi-media datasets. A novel data structure, termed the Spatial Event Cube (SEC), is form ... more

Abstract preview: Relevance feedback is often used in refining similarity retriev-als in image and video databases. Typically this involves modifi-cation to the similarity metrics based on the user feedback and recompu ... more

Abstract preview: A practical method for creating a high dimensional index structure that adapts to the data distribution and scales well with the database size, is presented. Typical media descriptors, such as texture ... more

Abstract preview: Dimensionality reduction methods are of interest in applications such as content based image and video retrieval. In large multimedia databases, it may not be practical to search through the entire da ... more

Abstract preview: There has been much interest recently in image content based retrieval, with applications to digital libraries and image database accessing. One approach to this problem is to base retrieval from the ... more

Abstract preview: Top down image semantics play a major role in predicting where people look in images. Present state-of-the-art approaches to model human visual attention incorporate high level object detections signi ... more

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

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

Abstract preview: In this paper we propose a novel framework to obtain a very compact image signature (32 bits) which is invariant to rotation, translation, scaling and other minor perturbations like smoothing, random ... more

Abstract preview: Robust semantic labeling of image regions is a basic problem in representing and retrieving image/video content. We propose an SVM-MRF framework to model features and their spatial distributions, lead ... more

Abstract preview: A canonical model is proposed for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections of texture motifs cor ... more

Abstract preview: We propose a canonical model for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections of texture motifs corr ... more

Abstract preview: This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptors. The categories are ... more

Abstract preview: Object based representations of image data enable new content- related functionalities while facilitating management of large image databases. Developing such representations for multi-date and multi- ... more

Abstract preview: This paper presents an algorithm for constructing object representations suitable for recognition. The system automatically selects a representative subset of the views of the object while constructin ... more

Abstract preview: In this work, an efficient low-dimensional color indexing scheme for region-based image retrieval is presented. The colors in each image region are first quantized so that only a small number of clust ... more

Abstract preview: An object-based representation for video data can facilitate video search and content analysis. Detecting physical meaningful video object is a challenging open issue, and requires intelligent spatio ... more

Abstract preview: We present here a prototype video analysis and retrieval system, called NeTra-V, that is being developed to build an object-based video representation for functionalities such as search and retrieval ... more

Abstract preview: We present here a prototype video analysis and retrieval system, called NeTra-V, that is being developed to build an object-based video representation for functionalities such as search and retrieval ... more

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