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Content-based live video retrieval by telop character recognition: TV-on-demand

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 120-130页

作者： Takahata, Minoru Kuwano, Hidetaka Kurakake, Shoji Matsuda, Chikashi Nishimura, Kazutoshi NTT Human Interface Lab Tokyo Japan

We have developed a TV-on-demand system that provides playback of a television program after a period ranging from a few seconds to one week after broadcast, and have conducted usage trials in cooperation with a television station in Nagano Prefecture of Japan. This system has been achieved through the development of various technologies such as automatic updating of stored television programs and contents retrieval by telop characters. Users in the trials can begin playback of a television program immediately after its broadcast has begun. The purpose of the trials was to evaluate the system's usability in applications such as contents retrieval, selective viewing of commercials, and customer service at the television station. This paper presents applied technologies and some experimental results and also addresses a new direction of information retrieval system based on the evaluation of the usage trials.

关键词： video on demand

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video server technology for high-performance retrieval in video-on-demand 5

Video server technology for high-performance retrieval in vi...

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conference on storage and retrieval for image and video databases V

作者： Sugiyama, H Takahata, M Nishimura, K NTT Human Interface Labs. (Japan)

ISBN: (纸本)0819424331

A powerful new set of video playback control functions is proposed which aids subscribers in finding specific programs or contents from among a vast store of video materials. For conducting title-based searches, repeat and clip capabilities are proposed as ways of previewing or browsing a program's contents. For retrieving information from within a program, skip and fast forward/rewind functions are effective when searching through video materials that are familiar, while midway playback is an effective approach when searching through material that had never been seen before. Most significantly, this set of video playback controls permits visual searches without reducing the number of concurrent users that can be supported while preserving a video access response time of under 1 second. The proposed methods are implemented in an experimental system and evaluated.

关键词： video search indexing video on demand video server

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Adaptive filtering and indexing for image databases

Adaptive filtering and indexing for image databases

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storage and retrieval for image and video databases iii

作者： Alexandrov, A. Ma, W.Y. El Abbadi, Amr Manjunath, B.S. Univ. of California/Santa Barbara Santa Barbara CA USA United States

ISBN: (纸本)081941767X

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 derive a 120 component feature vector representing the image. The feature components are ordered based on the relative importance in characterizing a given texture pattern, and this facilitates the development of efficient indexing mechanisms. We propose three different sets of indexing features based on the best feature, the average feature and a combination of both. We investigate the tradeoff between accuracy and discriminating power using these different indexing approaches, and conclude that the combination of best feature and the average feature gives the best results.

关键词： Database systems

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An image and video search engine for the World-Wide Web 5

An image and video search engine for the World-Wide Web

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conference on storage and retrieval for image and video databases V

作者： Smith, JR Chang, SF Department of Electrical Engineering Center for Image Technology for New Media Columbia University New York 10027 NY United States

ISBN: (纸本)0819424331

We describe a visual information system prototype for searching for images and videos on the World-Wide Web. New visual information in the form of images, graphics, animations and videos is being published on the Web at an incredible rate. However, cataloging this visual data is beyond the capabilities of current text-based Web search engines. In this paper, we describe a complete system by which visual information on the Web is (1) collected by automated agents, (2) processed in both text and visual feature domains, (3) catalogued and (4) indexed for fast search and retrieval. We introduce an image and video search engine which utilizes both text-based navigation and content-based technology for searching visually through the catalogued images and videos. Finally, we provide an initial evaluation based upon the cataloging of over one half million images and videos collected from the Web.

关键词： content-based visual query image and video storage and retrieval World-Wide Web

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A DISTRIBUTED HIERARCHICAL storage MANAGER FOR A video-ON-DEMAND SYSTEM 2

A DISTRIBUTED HIERARCHICAL STORAGE MANAGER FOR A VIDEO-ON-DE...

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conference on storage and retrieval for image and video databases II

作者： FEDERIGHI, C ROWE, LA UNIV CALIF BERKELEY DIV COMP SCIBERKELEYCA 94720

ISBN: (纸本)0819414808

The design of a distributed video-on-demand system that is suitable for large video libraries is described. The system is designed to store 1000s of hours of video material on tertiary storage devices. A video that a user wants to view is loaded onto a video file server close to the users desktop from where it can be played. The system manages the distributed cache of videos on the file servers and schedules load requests to the tertiary storage devices. The system also includes a metadata database, described in a companion paper, that the user can query to locate video material of interest. This paper describes the software architecture, storage organization, application protocols for locating and loading videos, and distributed cache management algorithm used by the system. © 1994 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： Virtual storage

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Efficient video sequence retrieval in large repositories

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 108-119页

作者： Sundaram, Hari Chang, Shih-Fu Columbia Univ New York 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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On video retrieval:: Content analysis by imageMiner™

On video retrieval:: Content analysis by ImageMiner™

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storage and retrieval for image and video databases VI conference

作者： Alshuth, P Hermes, T Voigt, L Herzog, O Univ Bremen Ctr Comp Technol Image Proc Dept D-28334 Bremen Germany

ISBN: (纸本)0819427527

In this paper videos are analyzed to get a content-based decription of the video. The structure of a given video is useful to index long videos efficiently and automatically. A comparison between shots gives an overview about cut frequency, cut pattern, and scene bounds. After a shot detection the shots are grouped into clusters based on their visual similarity. A time-constraint clustering procedure is used to compare only those shots that are positioned inside a time range. Shots from different areas of the video (e.g., begin/end) are not compared. With this cluster information that contains a list about shots and their clusters it is possible to calculate scene bounds. A labeling of all clusters gives a declaration about the cut pattern. It is easy now to distinguish a dialogue from an action scene. The final content analysis is done by the imageMiner* system. The imageMiner system developed at the University of Bremen of the image Processing Department of the Center for Computing Technology realizes content-based image retrieval for still images through a novel combination of methods and techniques of computer vision and artifical intelligence. The imageMiner system consists of three analysis modules for computer vision, namely for color, texture, and contour analysis. Additionally exists a module for object recognition. The output of the object recognition module can be indexed by a text retrieval system. Thus, concepts like forestscene may;be searched for. We combine the still image analysis with the results of the video analysis in order to retrieve shots or scenes.

关键词： content-based image retrieval image analysis video analysis image mosaicing graph grammar

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A robust approach to video segmentation using compressed data 5

A robust approach to video segmentation using compressed dat...

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conference on storage and retrieval for image and video databases V

作者： Wei, Q Zhang, HJ Zhong, YZ Tsinghua University Department of Computer Science and Technology Beijing 100084 China HP Labs 1501 Page Mill Road Palo Alto 94304 CA United States

ISBN: (纸本)0819424331

Partitioning video sequences into individual shots is one of the fundamental processes in video content parsing and content-based video retrieval. Up to now, a variety of algorithms and systems have been developed to perform this task. However, most of these algorithms exhibit their weakness when applied to detect gradual transitions such as dissolves, wipe, fade-in and fade-out In this paper, we presented an integrated scheme to the detection of abrupt camera breaks and gradual scene changes using DCT coefficients and motion data encoded in the MPEG compression stream. The core of the proposed approach is a tree-like classifier. Three algorithms are organized in the classifier to deal with the complicated situation in real-world video sequences separately.

关键词： video segmentation video database content-based retrieval video compression multimedia

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Combining indexing and learning in iterative refinement

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 390-400页

作者： Li, Chung-Sheng Castelli, Vittorio Smith, John R. Bergman, Lawrence IBM T.J. Watson Research Cent Yorktown Heights 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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video segmentation using combined cues

Video segmentation using combined cues

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storage and retrieval for image and video databases VI conference

作者： Toller, MS Lewis, PH Nixon, MS Univ Southampton Dept Elect & Comp Sci Multimedia Res Grp Southampton SO17 1BJ Hants England

ISBN: (纸本)0819427527

The use of video data in the multimedia environment is increasing rapidly, and so tools to handle large volumes of video data are required. One of the first steps towards creating more versatile video tools is to segment the video data, i.e. partition it into its component shots. This paper presents a novel combination of algorithms for video segmentation, utilising histogram comparison, motion vector information (focus of expansion), and edge information to detect transitions between shots. Our method can reliably detect transitions such as camera breaks, fades, dissolves and wipes, in video compressed to the MPEG-I standard.

关键词： video segmentation key frame extraction

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