A novel tool for summarization of arthroscopic videos
Multimedia Tools and Applications
Video summarization using a self-growing and self-organized neural gas network
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
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This paper proposes and evaluates a fully automatic summarization application for generic audiovisual based on MPEG-7 compliant hierarchical summary descriptions, which allows providing flexibility, low complexity, and interoperability. The novelty of this paper regards the exploitation of a three features, low-level arousal model to generate the summary metadata needed to instantiate MPEG-7 compliant summary descriptions with the advantages this brings in terms of interoperability. Moreover, a novel, solid performance evaluation methodology has been proposed and its application has been performed.