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oaioai:bura.brunel.ac.uk:2438/11163

Personalized video summarization based on group scoring

Authors
Publication date
1 July 2014
Publisher
IEEE
Doi

    Abstract

    In this paper an expert-based model for generation of personalized video summaries is suggested. The video frames are initially scored and annotated by multiple video experts. Thereafter, the scores for the video segments that have been assigned the higher priorities by end users will be upgraded. Considering the required summary length, the highest scored video frames will be inserted into a personalized final summary. For evaluation purposes, the video summaries generated by our system have been compared against the results from a number of automatic and semi-automatic summarization tools that use different modalities for abstraction

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    This paper was published in Brunel University Research Archive.

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