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2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing
We present a video adaptation system which takes account of users' preference on video Affective Content (AC) and limited network resource. AC directly causes an user's attention, evaluation and memory which also provides feasible entry for video highlight. According to user's preference, the proposed adaptation insures the video parcels with AC are allocated as much as possible network resource. The system is implemented with MPEG-21 Digital Item Adaptation (DIA) framework which provides adoi:10.1109/ciisp.2007.369200 fatcat:ndeo5vn6nne5xfjjjntl66u7rm