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. Attached Files Name Description MIMEType Size Downloads Title Video abstraction : a systematic review and classification Author(s) Truong, Ba Tu 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 Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 05 Apr 2012, 16:04:02 EST Wed, 18 Apr 2012, 11:20:01 EST Wed, 18 Apr 2012, 11:20:57 EST Wed, 18 Apr 2012, 11:22:23 EST Tue, 24 Apr 2012, 14:50:46 EST Thu, 26 Apr 2012, 14:58:03 EST Mon, 30 Apr 2012, 09:56:15 EST Mon, 13 May 2013, 14:18:51 EST Fri, 13 Jun 2014, 13:45:13 EST Sat, 21 Oct 2017, 02:02:07 EST Filtered Full Citation counts:   Cited 441 times in TR Web of Science Cited 629 times in Scopus Search Google Scholar Access Statistics: 1310 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 05 Apr 2012, 16:04:02 EST

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