Video query: Research directions

As digital video databases become more and more pervasive, finding video in large databases becomes a major problem. Because of the nature of video (streamed objects), accessing the content of such databases is inherently a time-consuming operation. Enabling intelligent means of video retrieval and...

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Bibliographic Details
Published inIBM journal of research and development Vol. 42; no. 2; pp. 233 - 252
Main Authors Bolle, R. M., Yeo, B.-L., Yeung, M. M.
Format Journal Article
LanguageEnglish
Published Armonk International Business Machines Corporation 01.03.1998
Subjects
Algorithms
Annotations
Computer science
Data models
Digital video
Digitization
Information retrieval
Metadata
Motion pictures
Multimedia
Queries
Query formulation
R&D
Research & development
Searches
Semantics
Video
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Summary:As digital video databases become more and more pervasive, finding video in large databases becomes a major problem. Because of the nature of video (streamed objects), accessing the content of such databases is inherently a time-consuming operation. Enabling intelligent means of video retrieval and rapid video viewing through the processing, analysis, and interpretation of visual content are, therefore, important topics of research.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-8646
0018-8646
2151-8556
DOI:10.1147/rd.422.0233