The Application of Unascertained Measure to the Video Emotion Type Recognition
The video retrieval is an im portant com ponent of the personalized information service system. In this paper , a few video retrieval problems are studied at the view of affective content recognition. Based on the unascertained theory, the relation between low-level video emotion features and high level cognitive emotion is established, and a novel algorithm about video scene emotion type recognition, which is based on the unascertained measure, is proposed .The algorithm consists of two parts. Firstly, the sub-module of low-level video emotion feature extraction introduces the emotion feature extraction sub-models of the video scene brightness, shot cut rate and color efficacy. Secondly, the sub-module of video emotion determination includes the unascertained measure emotion matrix of video scene and video emotion type recognition sub model. The experimental results show that the proposed algorithm is feasible and achieves more than 80 percent accuracy.
unascertained measure video retrieval video affective content emotion types emotion index
Lelin Yan Xiangming Wen Liang Zhang Yang Son
School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
1287-1291
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）