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|Title:||Personalized video summarization based on group scoring|
|Keywords:||Personalization;Upgrading frames scores;Video summarization;user-centred|
|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.|
|Appears in Collections:||Dept of Computer Science Research Papers|
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