Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11163
Title: Personalized video summarization based on group scoring
Authors: Darabi, K
Ghinea, G
Keywords: Personalization;Upgrading frames scores;Video summarization;user-centred
Issue Date: 2014
Publisher: IEEE
Citation: 2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE China SIP 2014 - Proceedings: 310 - 314, (2014)
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.
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6889254
http://bura.brunel.ac.uk/handle/2438/11163
DOI: http://dx.doi.org/10.1109/ChinaSIP.2014.6889254
ISBN: 9781479954032
Appears in Collections:Dept of Computer Science Research Papers

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