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|Title:||Personalized video summarization by highest quality frames|
|Keywords:||Personalization;Upgrading frames scores;Video summarization|
|Citation:||2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014, Chengdu, (14-18 July 2014 )|
|Abstract:||In this work, a user-centered approach has been the basis for generation of the personalized video summaries. Primarily, the video experts score and annotate the video frames during the enrichment phase. Afterwards, the frames scores for different video segments will be updated based on the captured end-users (different with video experts) priorities towards existing video scenes. Eventually, based on the pre-defined skimming time, the highest scored video frames will be extracted to be included into the personalized video summaries. In order to evaluate the effectiveness of our proposed model, we have compared the video summaries generated by our system against the results from 4 other summarization tools using different modalities.|
|Appears in Collections:||Dept of Computer Science Research Papers|
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