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The Holy Grail of Content-Based Media Analysis

Published: 01 April 2002 Publication History

Abstract

Tools and systems for content-based access to multimedia and-image., video, audio, graphics, text, and any number of combinations-has increased in the last decade. We've seen a common theme of developing automatic analysis techniques for deriving metadata (data describing information in the content at both syntactic and semantic levels). Such metadata facilitates developing innovative tools and systems for multimedia information retrieval, summarization, delivery, and manipulation. Many interesting demonstrations of potential applications and services have emerged-finding images visually similar to a chosen picture (or sketch); summarizing videos with thumbnails of keyframes; finding video clips of a specific event, story, or person; and producing a two-minute skim of an hour-long program. In order to evaluate content-based research methodologies, the article considers intended users and whether alternative solutions exist and areas of research

References

[1]
S.-F. Chang D. Zhong and R. Kumar, "Real-Time Content-Based Adaptive Streaming of Sports Video," Proc. IEEE Workshop Content-Based Access to Video and Image Libraries, IEEE CS Press, Los Alamitos, Calif., 2001.
[2]
S. Ebadollahi, et al., "Echocardiogram Video Summarization," Proc. SPIE Medical Imaging, SPIE Press, Bellingham, Wash., 2001.
[3]
H. Sundaram and S.-F. Chang, "Determining Computable Scenes in Films and Their Structures Using Audio Visual Memory Models," Proc. ACM Multimedia, ACM Press, New York, 2000.

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cover image IEEE MultiMedia
IEEE MultiMedia  Volume 9, Issue 2
April 2002
94 pages

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 April 2002

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  • (2016)View-independent action recognitionMultimedia Tools and Applications10.1007/s11042-015-2606-575:12(6755-6775)Online publication date: 1-Jun-2016
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