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|Title:||A novel user-centered design for personalized video summarization|
|Keywords:||Multimedia information systems;Multimedia retrieval and browsing;Personalization;Semantic multinomial;User preferences;Video semantics;Video summarization|
|Publisher:||IEEE Computer Society|
|Citation:||Proceedings - 2014 IEEE International Conference on Multimedia and Expo, Chengdu, 14-18 July 2014|
|Abstract:||In the past, several automatic video summarization systems had been proposed to generate video summary. However, a generic video summary that is generated based only on audio, visual and textual saliencies will not satisfy every user. This paper proposes a novel system for generating semantically meaningful personalized video summaries, which are tailored to the individual user's preferences over video semantics. Each video shot is represented using a semantic multinomial which is a vector of posterior semantic concept probabilities. The proposed system stitches video summary based on summary time span and top-ranked shots that are semantically relevant to the user's preferences. The proposed summarization system is evaluated using both quantitative and subjective evaluation metrics. The experimental results on the performance of the proposed video summarization system are encouraging.|
|Appears in Collections:||Dept of Computer Science Research Papers|
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