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Combining indexing and learning in iterative refinement

Combining indexing and learning in iterative refinement

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Li, Chung-Sheng Castelli, Vittorio Smith, John R. Bergman, Lawrence IBM T.J. Watson Research Cent Yorktown Heights NY United States

A simultaneous learning and indexing technique is proposed for efficient content-based retrieval of images that can be described by feature vectors. this technique builds a compact high-dimensional index while taking into account that the raw feature space needs to be adjusted for each new application. With this technique, much better efficiency can be achieved as compared to those techniques that do not make provisions for efficient indexing.

关键词： image enhancement

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image query and indexing for digital X-rays

Image query and indexing for digital X-rays

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Long, L.Rodney thoma, George R. Natl Library of Medicine Bethesda MD United States

the Web-based Medical Information retrieval System (WebMIRS) allows Internet access to databases containing 17,000 digitized x-ray spine images and associated text data from National Health and Nutrition Examinations Surveys (NHANES). WebMIRS allows SQL query of the text, and viewing of the returned text records and images using a standard browser. We are now working (1) to determine utility of data directly derived from the images in our databases and (2) to investigate the feasibility of computer-assisted or automated indexing of the images to support image retrieval of images of interest to biomedical researchers in the field of osteoarthritis. To build an initial database based on image data, we are manually segmenting a subset of the vertebrae, using techniques from vertebral morphometry. From this, we will derive and add to the database vertebral features. this image-derived data will enhance the user's data access capability by enabling the creation of combined SQL/image-content queries.

关键词： Information retrieval systems

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video segmentation and classification for content based storage and retrieval using motion vectors

Video segmentation and classification for content based stor...

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Fernando, W.A.C. Canagaraja, C.N. Bull, D.R. Univ of Bristol Bristol United Kingdom

video parsing is an important step in content-based indexing techniques where the input video is decomposed into segments with uniform content. In video parsing detection of scene changes is one of the approaches widely used for extracting key frames from the video sequence. In this paper, an algorithm based on motion vectors is proposed to detect sudden scene changes and gradual scene changes (camera movements such as panning, tilting and zooming). Unlike some of the existing schemes, the proposed scheme is capable of detecting both sudden and gradual changes in uncompressed as well as compressed domain video. It is shown that the resultant motion vector can be used to identify and classify gradual changes due to camera movements. Results show that algorithm performed as well as the histogram-based schemes with uncompressed video. the performance of the algorithm was also investigated with H.263 compressed video. the detection and classification of both sudden and gradual scene changes was successfully demonstrated.

关键词： image segmentation

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Morphological approach to scene change detection and digital video storage and retrieval

Morphological approach to scene change detection and digital...

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Kim, Woonkyung M. Song, S.Moon-Ho Kim, Hyeokman Song, Cheeyang Kwon, Byung Woong Kim, Sun Geun Korea Univ Seoul Korea Republic of

With the abstraction of digital video as the corresponding binary video- a process which upon numerous subjective experimentation seems to preserve (most of the) intelligibility of video content- we can pursue a precise and analytic approach to (digital video storage and retrieval) algorithm design that are based upon geometrical (morphological) intuition. the foremost and tangible general benefit of such abstraction, however, is the immediate reductions of both data and computational complexities involved in implementing various algorithms and databases. the general paradigm presented may be utilized to address all issues pertaining to video library construction including visualization, optimum feedback query generation, object recognition, e.t.c., but the primary focus of attention in this paper are the ones pertaining to detection of fast (including presence of flashlights) and gradual scene changes (such as dissolves, fades, and various special effects such as wipes). Upon simulation we observed that we can achieve performances comparable to those of others with drastic reductions in both storage and computational complexities. Furthermore, since the conversion from grayscale to binary videos can be performed directly (with minimal additional computation) in the compressed domain by thresholding on the DCT DC coefficients themselves (or by using the contour information attached to MPEG4 formats), the algorithms presented herein are ideally suited for performing fast (on-the-fly) determinations of scene change, object recognition and/or tracking, and other more intelligent tasks traditionally requiring heavy demand on computational and/or storage complexities. the fast determinations may then be used on their own merits or can be used in conjunction or complementation with other higher-layer information in the future.

关键词： video signal processing

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Delaunay triangulation for image object indexing: a novel method for shape representation

Delaunay triangulation for image object indexing: a novel me...

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Tao, Yi Grosky, William I. Wayne State Univ Detroit MI United States

Recent research on image databases has been aimed at the development of content-based retrieval techniques for the management of visual information. Compared with such visual information as color, texture, and spatial constraints, shape is so important a feature associated with those image objects of interest that shape alone may be sufficient to identify and classify an object completely and accurately. this paper presents a novel method based on feature point histogram indexing for object shape representation in image databases. In this scheme, the feature point histogram is obtained by discretizing the angles produced by the Delaunay triangulation of a set of unique feature points which characterize object shape in the context, and then counting the number of times each discrete angle occurs in the resulted triangulation. the proposed shape representation technique is translation, scale, and rotation independent. Our various experiments concluded that the Euclidean distance performs very well as the similarity measure function in combination with the feature point histogram computed by counting the two largest angles of each individual Delaunay triangle. through the further experiment, we also found evidence that an image object representation using a feature point histogram provides an effective cue for image object discrimination.

关键词： Feature extraction

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Audio-guided audiovisual data segmentation, indexing, and retrieval

Audio-guided audiovisual data segmentation, indexing, and re...

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Zhang, Tong Kuo, C.-C.Jay Univ of Southern California Los Angeles CA United States

While current approaches for video segmentation and indexing are mostly focused on visual information, audio signals may actually play a primary role in video content parsing. In this paper, we present an approach for automatic segmentation, indexing, and retrieval of audiovisual data based on audio content analysis. the accompanying audio signal of audiovisual data is first segmented and classified into basic types, i.e. speech, music, environmental sound, and silence. this coarse-level segmentation and indexing step is based on morphological and statistical analysis of several short-term features of the audio signals. then, environmental sounds are classified into finer classes such as applause, explosion, bird's sound, etc. this fine-level classification and indexing step is based on time-frequency analysis of audio signals and the use of hidden Markov model (HMM) as the classifier. On top of this archiving scheme, an audiovisual data retrieval system is proposed. Experimental results show that the proposed approach has an accuracy rate higher than 90% for the coarse-level classification, and higher than 85% for the fine-level classification. Examples of audiovisual data segmentation and retrieval are also provided.

关键词： image segmentation

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Efficient video sequence retrieval in large repositories

Efficient video sequence retrieval in large repositories

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Sundaram, Hari Chang, Shih-Fu Columbia Univ New York NY United States

this paper presents algorithms to deal with problems associated with indexing high-dimensional feature vectors that characterize video data. Indexing high dimensional vectors is well known to be computationally expensive. Our solution is to optimally split the high dimensional vector into a few low dimensional feature vectors and querying the system for each feature vector. this involves solving an important sub-problem: developing a model of retrieval that enables us to query the system efficiently. Once we formulate the retrieval problem in terms of a retrieval model, we present an optimality criterion to maximize the number of results using this model. the criterion is based on a novel idea of using the underlying probability distribution of the feature vectors. A branch-and-prune strategy optimized per each query, is developed. this uses the set of features derived from the optimality criterion. Our results show that the algorithm performs well, giving a speedup of a factor of 25 with respect to a linear search while retaining the same level of Recall.

关键词： Feature extraction

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Gesture for video content navigation

Gesture for video content navigation

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Bradski, Gary Yeo, Boon-Lock Yeung, Minerva M. Intel Corp Santa Clara CA United States

this article describes the use of gesture recognition techniques in computer vision as a natural interface for video content navigation, and the design of a navigation and browsing system that caters to these natural means of computer-human interaction. For consumer applications, video content navigation presents two challenges: (1) how to parse and summarize multiple video streams in an intuitive and efficient manner, and (2) what type of interface will enhance the ease of use for video browsing and navigation in a living room setting or an interactive environment. In this paper, we address the issues and propose the techniques that combine video content navigation with gestures, seamlessly and intuitively, in an integrated system. the current framework can incorporate speech recognition technology. We present a new type of browser for browsing and navigating video content, as well as a gesture recognition interface for this browser.

关键词： Pattern recognition

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Semi-automatic dynamic video object marker creation

Semi-automatic dynamic video object marker creation

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Toklu, Candemir Liou, Shih-Ping Siemens Corporate Research Inc Princeton NJ United States

In this paper we propose a method for tracking a video object in an ordered sequence of two-dimensional images, where the outcome is the trajectory of the video object throughout the time sequence of images. this method is designed to run in real-time in a synchronous video collaboration environment, and used for producing dynamic object annotations for enhanced video content understanding. A dynamic object is an object whose location or size in the video frame constantly changes due to the camera motion, the motion of its own, or both. We suggest a novel method for finding the trajectory of the object in the intermediate frames given the locations and shapes of the object in two end frames. In addition to the shape and location information of the object, its texture information in the end frames is used to predict the location and search space of it in the intermediate frames.

关键词： Object recognition

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Fast edge map extraction from MPEG compressed video data for video parsing

Fast edge map extraction from MPEG compressed video data for...

引用

Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases VII

作者： Song, Byung Cheol Ra, Jong Beom Korea Advanced Inst of Science and Technology Taejon Korea Republic of

For the last few years, shot boundary detection has been recognized as an important research issue on video retrieval. Also as a preliminary step for the task, it is essential to extract salient features from videos. Recently, it has become common to perform the two tasks in compressed domain to alleviate their computational costs. In this paper, we propose novel shot boundary detection technique, which uses two feature images, or DC and edge images, extracted directly from MPEG compressed video. While a DC image can be easily obtained, edge image extraction usually requires considerable computational burden. For fast edge image extraction, we suggest to utilize only a few AC coefficients of each DCT block in motion compensated P-frames and B-frames as well as I-frames. this drastically reduces the computational burden compared to edge extraction in the spatial domain. In order to further reduce the computational burden, another edge image extraction technique is also suggested on the basis of AC prediction using DC images. By using the edge energy diagram obtained from edge images and histograms from DC images, shot boundaries such as abrupt transitions, fades, and dissolves are detected automatically. Simulation results show that the proposed techniques are fast and effective.

关键词： Feature extraction

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