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storage and retrieval for still image and video databases iv

ISBN: (纸本)0819420441

The proceedings contains 41 papers. The papers are grouped under following session headings: image retrieval;indexing structure;invited papers;representation and modeling;video database;user issues;architecture;and poster session. Some of the specific topics discussed are: color indexing with weak spatial constraints;similarity indexing - algorithms and performance;virtual digital library;indexing of compressed video sequences;image retrieval based on color;and audio characterization for video indexing.

关键词： Information retrieval systems

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retrieval by content in symbolic-image databases

Retrieval by content in symbolic-image databases

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Conference on storage and retrieval for still image and video databases iv

作者： Soffer, A Samet, H UNIV MARYLAND DEPT COMP SCI & ELECT ENGNBALTIMOREMD 21228

ISBN: (纸本)0819420441

Two approaches for integrating images into the framework of a database management system are presented. The classification approach preprocesses all images and attaches a semantic classification and an associated certainty factor to each object found in the image. The abstraction approach describes each object in the image by using a vector consisting of the values of some of its features (e.g., shape, genus, etc.). The approaches differ in the way in which responses to queries that are based on image content are computed. In the classification approach, images are retrieved on the basis of whether or not they contain objects that have the same classification as query objects. In the abstraction approach, retrieval is on the basis of similarity of feature vector values of these objects. Both the pattern recognition and indexing aspects of the method are addressed for each approach. The emphasis is on extracting both contextual and spatial information from the raw images. Methods for storing and indexing symbolic images as tuples in a relation are presented for each approach. Indices are constructed for both the contextual and the spatial data. The user interface for a pictorial information system based on these two approaches is also presented.

关键词： image databases retrieval by content spatial databases image indexing query optimization

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System architecture for middle-scale video-on-demand services

System architecture for middle-scale video-on-demand service...

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Conference on storage and retrieval for still image and video databases iv

作者： Kimiyama, H Nishimura, K Matsuda, C Nakano, H NIPPON TELEGRAPH & TEL PUBL CORP HUMAN INTERFACE LABS MUSASHINO TOKYO 180 JAPAN

ISBN: (纸本)0819420441

An experimental video server for middle-scale video-on-demand services that uses a 'redundant double-layered disk array' can read out 100 MPEG-1 1.5-Mbps video streams simultaneously with a response time of under one second through an FDDI-LAN. An exclusive data method that switches between normal data and fast data and a skip-search method are used to provide fast visual search. The gateway connecting the video server LAN to a 6.312-Mbps constant bit-rate line allows broadcast services to be integrated with on- demand services. The protocol implemented in this gateway controls the visual search rate, corrects errors in downloaded data, and accelerates the playback mode changes.

关键词： video-on-demand multiple readout visual search gateway

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Implementation of video presentation in database systems

Implementation of video presentation in database systems

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Conference on storage and retrieval for still image and video databases iv

作者： Zhang, AD Multani, S SUNY BUFFALO DEPT COMP SCIBUFFALONY 14260

ISBN: (纸本)0819420441

In order to flexibly and efficiently store, manage, and present video data streams, continuous video data must be chopped into video objects and stored into database. This paper investigates systematic strategies for supporting continuous and synchronized presentation of video data streams in multimedia database systems. Compressed video data streams are segmented and stored as sets of video objects coupled with specified synchronization requirements. Strategies for efficiently scheduling and buffering video objects are presented which guarantee the hiccup-free presentations of video streams. Delay effects are considered in these strategies. We propose to extend the existing object-oriented database system (OODBS) techniques to include the proposed video presentation mechanisms. We are currently designing and implementing a multimedia presentation tool (termed MediaShow) on top of O₂, a well-known OODBS, as a basis for our implementation. However, the design strategies can be generally used in any OODBS environments that support C++ interface.

关键词： multimedia databases video presentation

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video retrieval by still image analysis with imageMiner(TM) 5

Video retrieval by still image analysis with ImageMiner(TM)

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Conference on storage and retrieval for image and video databases V

作者： Kreyss, J Roper, M Alshuth, P Hermes, T Herzog, O Univ. Bremen (Germany)

ISBN: (纸本)0819424331

The large amount of available multimedia information (e.g. videos, audio, images) requires efficient and effective annotation and retrieval methods. As videos start playing a more important role in the frame of multimedia, we want to make these available for content-based retrieval. The imageMiner-System, which was developed at the University of Bremen in the AI group, is designed for content-based retrieval of single images by a new combination of techniques and methods from computer vision and artificial intelligence. In our approach to make videos available for retrieval in a large database of videos and images there are two necessary steps: First, the detection and extraction of shots from a video, which is done by a histogram based method and second, the construction of the separate frames in a shot to one still single image. This is performed by a mosaicing-technique. The resulting mosaiced image gives a one image visualization of the shot and can be analyzed by the the imageMiner-System. imageMiner has been tested on several domains, (e.g. landscape images, technical drawings), which cover a wide range of applications.

关键词： content based image retrieval video analysis mosaicing

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Model-based classification of visual information for content-based retrieval

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 402-414页

作者： Jaimes, Alejandro Chang, Shih-Fu Columbia Univ New York United States

A different approach to content-based retrieval and a novel framework for classification of visual information are proposed. The Visual Apprentice which is an implementation of the framework for still images and video that uses a combination of lazy-learning, decision trees, and evolution programs for classification and grouping is introduced. Examples and results are given to demonstrate the applicability of the proposed approach to perform visual classification and detection.

关键词： Feature extraction

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videoBase - a prototype of video database managing system

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 722-732页

作者： Bai, Xuesheng Xu, Guangyou Shi, Yuanchun Tsinghua Univ Beijing China

Content based retrieval on large multimedia database attracts the interests of many researchers, but the database architecture needed for content based retrieval is still an open problem. Traditional relation database system does not support the high-dimension feature form content description and indexing, thus is limited in its content based retrieval function. Some systems do support high-dimension feature form content description and indexing, but lacks descriptions and query expressions on media object content and relations. In this paper, we present our study results on query mechanism and proposed CbExpr - a powerful flexible query expression mechanism on media object. Based on CbExpr we proposed GMA (general mediabase architecture) - a general architecture for management and content based retrieval on large media databases, and videoBase - a content based video retrieval system is present as example of GMA. Basic thoughts, considerations, and definitions are presented in the paper, also with some implementation details.

关键词： Query languages

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Conference on storage and retrieval for image and video databases V

作者： DiSciascio, E Celentano, A Politecnico di Bari (Italy) Univ. Ca' Foscari di Venezia (Italy)

ISBN: (纸本)0819424331

The development of increasingly complex multimedia applications calls for new methodologies for the organization and retrieval of still images and video sequences. Query and retrieval methods based on image content promise good results, are currently widely investigated and, to some extent, already commercially available. Yet a large number of issues remain unsolved. In this paper we describe some results of a study on similarity evaluation in image retrieval using color, object orientation and relative position as content features. A simple prototype system is also introduced that computes the feature descriptors and performs queries. Although not trivial, the features extraction process is completely automated and requires no user intervention. The system is admittedly not a general purpose tool, but is oriented to thematic image repositories where the semantics of stored images are limited to a specific domain.

关键词： image databases image feature computation retrieval by image content vector space model Hough transform

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Querying multiple perspective video

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 264-271页

作者： Santini, Simone Gupta, Amarnath Jain, Ramesh Univ of California San Diego United States

This paper introduces a model of spatio-temporal database that we are developing to query interesting events in video sequences. The database that we are designing is pushing the state of the art for a number of fields, and there are many issues that are still waiting a satisfactory solution. In this paper we present our (albeit still partial) answer to some of these problems, and the future directions of our work. Our design is divided in two layers: a Logbook which operates as a short time repository of unsummarized and unprocessed data, and a long term spatio-temporal database which stores and queries summarized data.

关键词： video signal processing

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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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