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Title: Video summarisation: A conceptual framework and survey of the state of the art
Authors: Money, AG
Agius, H
Keywords: Video summaries;Video summarisation;Video content;Survey;Conceptual framework;User based information;Contextual information
Issue Date: 2008
Publisher: Elsevier
Citation: Journal of Visual Communication and Image Representation, 19(2), 121 - 143, 2008
Abstract: Video summaries provide condensed and succinct representations of the content of a video stream through a combination of still images, video segments, graphical representations and textual descriptors. This paper presents a conceptual framework for video summarisation derived from the research literature and used as a means for surveying the research literature. The framework distinguishes between video summarisation techniques (the methods used to process content from a source video stream to achieve a summarisation of that stream) and video summaries (outputs of video summarisation techniques). Video summarisation techniques are considered within three broad categories: internal (analyse information sourced directly from the video stream), external (analyse information not sourced directly from the video stream) and hybrid (analyse a combination of internal and external information). Video summaries are considered as a function of the type of content they are derived from (object, event, perception or feature based) and the functionality offered to the user for their consumption (interactive or static, personalised or generic). It is argued that video summarisation would benefit from greater incorporation of external information, particularly user based information that is unobtrusively sourced, in order to overcome longstanding challenges such as the semantic gap and providing video summaries that have greater relevance to individual users.
Description: This is the post-print (final draft post-refereeing) version of the article. Copyright @ 2007 Elsevier Inc.
ISSN: 1047-3203
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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