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613
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2001
"... The need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and Web image classification and searching. We present here SIMPLIcity (Semanticssensitive Integrated Matching for Picture LIbraries), an imag ..."
Abstract
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Cited by 551 (35 self)
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range in a database. A measure for the overall similarity between images is developed using a region-matching scheme that integrates properties of all the regions in the images. Compared with retrieval based on individual regions, the overall similarity approach 1) reduces the adverse effect
IRM: Integrated Region Matching for Image Retrieval
, 2000
"... Content-based image retrieval using region segmentation has been an active research area. We present IRM (Integrated Region Matching), a novel similarity measure for regionbased image similarity comparison. The targeted image retrieval systems represent an image by a set of regions, roughly correspo ..."
Abstract
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Cited by 101 (14 self)
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corresponding to objects, which are characterized by features reflecting color, texture, shape, and location properties. The IRM measure for evaluating overall similarity between images incorporates properties of all the regions in the images by a region-matching scheme. Compared with retrieval based
Unified Multi-camera Detection and Tracking Using Region-Matching
, 2001
"... We describe an algorithm for detecting and tracking multiple people in a cluttered scene using multiple synchronized cameras located far away from each other. This camera arrangement results in multiple wide-baseline camera systems. We segment each image, and then, for each pair we compare regions a ..."
Abstract
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Cited by 25 (2 self)
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We describe an algorithm for detecting and tracking multiple people in a cluttered scene using multiple synchronized cameras located far away from each other. This camera arrangement results in multiple wide-baseline camera systems. We segment each image, and then, for each pair we compare regions
Spatio-temporal video error concealment using priority-ranked region-matching
- in ICIP 2005
"... Abstract — W hen transmitted over error-prone networks, compressed video sequences may be received with errors. In this paper we propose a priority-ranked region-matching algorithm to recover the “lost ” area of the decoded frames, in which both temporal and spatial correlations of the video sequenc ..."
Abstract
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Cited by 2 (1 self)
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Abstract — W hen transmitted over error-prone networks, compressed video sequences may be received with errors. In this paper we propose a priority-ranked region-matching algorithm to recover the “lost ” area of the decoded frames, in which both temporal and spatial correlations of the video
SCALABLE REGION-MATCHING MOTION ESTIMATION BASED ON AN UNSUPERVISED SPATIAL SEGMENTATION
"... In a video scene, motion estimation (ME) can be studied on a dense field (optical flow) or on image structures or regions. Image structures can be deduced from the motion itself or formerly deduced by a segmentation. A scheme of ME, funded on a Bayesian segmentation using a Potts-Markov model, has l ..."
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lead to a ”region-matching ” ME scheme [5]. Bayesian segmentation has been operated, with the same model, in the wavelet domain and has shown an interesting gain in segmentation speed [6]. In the present work we have synthesized both approaches to demonstrate a new scheme of region-matching ME which
Temporal Video Segmentation Using Unsupervised Clustering and Semantic Object Tracking
- Journal of Electronic Imaging
, 1998
"... This paper proposes a content-based temporal video segmentation system that integrates syntactic (domain-independent) and semantic (domain-dependent) features for automatic management of video data. Temporal video segmentation includes scene change detection and shot classification. The proposed sc ..."
Abstract
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Cited by 47 (1 self)
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scene change detection method consists of two steps: detection and tracking of semantic objects of interest specified by the user, and an unsupervised method for detection of cuts, and edit effects. Object detection and tracking is achieved using a region matching scheme, where the region of interest
Face recognition with local binary patterns
- In Proc. of 9th Euro15 We
"... Abstract. In this work, we present a novel approach to face recognition which considers both shape and texture information to represent face images. The face area is first divided into small regions from which Local Binary Pattern (LBP) histograms are extracted and concatenated into a single, spatia ..."
Abstract
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Cited by 302 (15 self)
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Abstract. In this work, we present a novel approach to face recognition which considers both shape and texture information to represent face images. The face area is first divided into small regions from which Local Binary Pattern (LBP) histograms are extracted and concatenated into a single
Scalable Integrated Region-based Image Retrieval using IRM and Statistical Clustering
, 2001
"... Statistical clustering is critical in designing scalable image retrieval systems. In this paper, we present a scalable algorithm for indexing and retrieving images based on region segmentation. The method uses statistical clustering on region features and IRM (Integrated Region Matching), a measure ..."
Abstract
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Cited by 19 (0 self)
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developed to evaluate overall similaritybetween images that incorporates properties of all the regions in the images by a region-matching scheme. Compared with retrieval based on individual regions, our overall similarity approach (a) reduces the inuence of inaccurate segmentation, (b) helps to clarify
Matching mammographic regions in mediolat eral oblique and cranio caudal views: a probabilistic approach
- in: Medical Imaging, volume 6915 of Proceedings of the SPIE
"... ABSTRACT Most of the current CAD systems detect suspicious mass regions independently in single views. In this paper we present a method to match corresponding regions in mediolateral oblique (MLO) and craniocaudal (CC) mammographic views of the breast. For every possible combination of mass region ..."
Abstract
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Cited by 2 (1 self)
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in at least one of the views. In 82.4% of the cases a correct link could be established between the TP detections in both views. In future work, we will use the framework presented here to develop a context dependent region matching scheme, which takes the number and likelihood of possible alternatives
The LOCO-I Lossless Image Compression Algorithm: Principles and Standardization into JPEG-LS
- IEEE TRANSACTIONS ON IMAGE PROCESSING
, 2000
"... LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and near-lossless compression of continuous-tone images, JPEG-LS. It is conceived as a "low complexity projection" of the universal context modeling paradigm, match ..."
Abstract
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Cited by 253 (11 self)
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, matching its modeling unit to a simple coding unit. By combining simplicity with the compression potential of context models, the algorithm "enjoys the best of both worlds." It is based on a simple fixed context model, which approaches the capability of the more complex universal techniques
Results 1 - 10
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613