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IEEE Transactions on Pattern Analysis and Machine Intelligence
Communications of the ACM
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MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
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Artificial Intelligence
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Video tapestries with continuous temporal zoom
ACM SIGGRAPH 2010 papers
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Multiple object tracking using HSV color space
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IEEE Computer Graphics and Applications
Static and dynamic video summaries
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Global contrast based salient region detection
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Context-Aware Saliency Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 2012 ACM Research in Applied Computation Symposium
Previewing video content with dynamic and interactable collage
SIGGRAPH Asia 2012 Posters
Markov random fields for sketch based video retrieval
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
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Video summarization aims to give a condensed presentation of video content, facilitating users to efficiently and effectively browse videos and obtain specific information in a short time following users' attention. In this paper, we propose a novel method to generate personalized sketch summarization supporting sketch interaction that is characterized for being coherent, compact and interactive, allowing to measure how event tracks following the spatio-temporal progress and how users directly interact with the content of video. The stylized algorithm is provided to obtain sketches from key-frames and a graph is constructed representing attributes of sketches. Thus a layout algorithm based on graph is presented for generating sketch summarization. Furthermore, efficient interaction on sketch video summarization is provided. Finally, user experience shows that the proposed sketch summarization helps users quickly grasp the specific information, understand the context and interact with the content of interest.