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Video abstraction : a systematic review and classification

Truong, Ba Tu and Venkatesh, Svetha 2007, Video abstraction : a systematic review and classification, ACM transactions on multimedia computing communications and applications, vol. 3, no. 1, pp. 1-37.

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Title Video abstraction : a systematic review and classification
Author(s) Truong, Ba Tu
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Journal name ACM transactions on multimedia computing communications and applications
Volume number 3
Issue number 1
Start page 1
End page 37
Total pages 37
Publisher Association for Computing Machinery, Inc.
Place of publication New York, N.Y.
Publication date 2007
ISSN 1551-6857
1551-6865
Keyword(s) keyframe
survey
video abstraction
video skimming
video summarization
Summary The demand for various multimedia applications is rapidly increasing due to the recent advance in the computing and network infrastructure, together with the widespread use of digital video technology. Among the key elements for the success of these applications is how to effectively and efficiently manage and store a huge amount of audio visual information, while at the same time providing user-friendly access to the stored data. This has fueled a quickly evolving research area known as video abstraction. As the name implies, video abstraction is a mechanism for generating a short summary of a video, which can either be a sequence of stationary images (keyframes) or moving images (video skims). In terms of browsing and navigation, a good video abstract will enable the user to gain maximum information about the target video sequence in a specified time constraint or sufficient information in the minimum time. Over past years, various ideas and techniques have been proposed towards the effective abstraction of video contents. The purpose of this article is to provide a systematic classification of these works. We identify and detail, for each approach, the underlying components and how they are addressed in specific works. © 2007 ACM.
Language eng
Field of Research 080305 Multimedia Programming
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2007, ACM
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044292

Document type: Journal Article
Collection: School of Information Technology
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