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Content-based analysis of digital video

Author: A Hanjalic
Publisher: Boston : Kluwer Academic Publishers, ©2004.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

It treats topics that are critical to successfully automating the video content extraction and retrieval processes, and includes coverage of: - Video parsing, - Video content indexing and  Read more...

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Hanjalic, A.
Content-based analysis of digital video.
Boston : Kluwer Academic Publishers, ©2004
(DLC) 2004053786
(OCoLC)55615742
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: A Hanjalic
ISBN: 1402081154 9781402081156 9781402081149 1402081146
OCLC Number: 57378183
Description: 1 online resource (xii, 193 pages) : illustrations
Contents: Preface. Acknowledgements. Introduction. 1.1. Video content analysis: toward a paradigm shift. 1.2. Toward the meaning of video data: bridging the semantic gap. 1.3. Book objective, scope and overview. Detecting shot boundaries in video. 2.1. Introduction. 2.2. Shot-boundary detection: unraveling the problem. 2.3. Feature extraction. 2.4. Modeling prior information. 2.5. Modeling discriminative information. 2.6. Bayesian approach to decision module design. 2.7. Remarks and recommendations. 2.8. References and further reading. Parsing a video into semantic segments. 3.1. Introduction. 3.2. The principle of content coherence. 3.3. Video parsing based on the content coherence principle. 3.4. Content similarity between clips. 3.5. Audio-assisted video parsing. 3.6. Remarks and recommendations. 3.7. References and further reading. Video indexing and abstraction for retrieval. 4.1. Introduction. 4.2. Video indexing. 4.3. Video content representation for browsing and content preview. 4.4. Remarks and recommendations. 4.5. References and further reading. Affective video content analysis. 5.1. Introduction. 5.2. Dimensional approach to affect. 5.3. Affective video content representation. 5.4. Affective video content modeling. 5.5. Applications. 5.6. Remarks and recommendations. 5.7. References and further reading.
Responsibility: Alan Hanjalić.

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