Video personalization in resource-constrained multimedia environments
Proceedings of the 15th international conference on Multimedia
Personalized video adaptation based on video content analysis
Proceedings of the 9th International Workshop on Multimedia Data Mining: held in conjunction with the ACM SIGKDD 2008
An integrated approach to summarization and adaptation using H.264/MPEG-4 SVC
Image Communication
Personalized sports video customization for mobile devices
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Adaptive extraction of highlights from a sport video based on excitement modeling
IEEE Transactions on Multimedia
A Framework for Utility-Based Multimedia Adaptation
IEEE Transactions on Circuits and Systems for Video Technology
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The personalized video adaptation may be the most inspiring weapon to solve the contradiction between the optimized unified accessing in internet occupied by massive video contents and limited client's resources, but how to predict semantic utility which links the semantic contents to video adaptation is not a well settled problem. The primary contributions of the paper include following. The multimodal highlights of soccer video are extracted with the affective content analysis; a unified semantic utility model for multi-level summary and frame dropping based transcoding; a Multiple-choice Multi-dimensional Knapsack Problem (MMKP) is proposed to solve the optimized semantic utility for personalized adaptation under the constraints of client's resources. The experimental results show that our method on multimodal highlights has achieved reasonable accuracy among most of semantic events, and MMKP based solution proves better performance on optimized semantic events consumption than 0/1 Knapsack Problem (0/1KP) based solution.