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Affective Visualization and Retrieval for Music Video

文献类型：期刊论文

作者Zhang, Shiliang1; Huang, Qingming2; Jiang, Shuqiang1; Gao, Wen1; Tian, Qi3
刊名IEEE TRANSACTIONS ON MULTIMEDIA
出版日期2010-10-01
卷号12期号:6页码:510-522
关键词Affective content analysis affective visualization dimensional affective model support vector regression
ISSN号1520-9210
DOI10.1109/TMM.2010.2059634
英文摘要In modern times, music video (MV) has become an important favorite pastime to people because of its conciseness, convenience, and the ability to bring both audio and visual experiences to audiences. As the amount of MVs is explosively increasing, it has become an important task to develop new techniques for effective MV analysis, retrieval, and management. By stimulating the human affective response mechanism, affective video content analysis extracts the affective information contained in videos, and, with the affective information, natural, user-friendly, and effective MV access strategies could be developed. In this paper, a novel integrated system (i.MV) is proposed for personalized MV affective analysis, visualization, and retrieval. In i.MV, we not only perform the personalized MV affective analysis, which is a challenging and insufficiently covered problem in current affective content analysis field, but also propose novel affective visualization to convert the abstract affective states intuitive and friendly to users. Based on the affective analysis and visualization, affective information based MV retrieval is achieved. Both comprehensive experiments and subjective user studies on a large MV dataset demonstrate that our personalized affective analysis is more effective than the previous algorithms. In addition, affective visualization is proved to be more suitable for affective information-based MV retrieval than the commonly used affective state representation strategies.
资助项目National Natural Science Foundation of China[60833006] ; National Natural Science Foundation of China[60702035] ; National Hi-Tech Development Program under the 863 Program of China[2006AA01Z117] ; Beijing Natural Science Foundation[4092042]
WOS研究方向Computer Science ; Telecommunications
语种英语
WOS记录号WOS:000283291900005
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/12112]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhang, Shiliang
作者单位1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100190, Peoples R China
3.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA
推荐引用方式
GB/T 7714		 Zhang, Shiliang,Huang, Qingming,Jiang, Shuqiang,et al. Affective Visualization and Retrieval for Music Video[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2010,12(6):510-522.
APA Zhang, Shiliang,Huang, Qingming,Jiang, Shuqiang,Gao, Wen,&Tian, Qi.(2010).Affective Visualization and Retrieval for Music Video.IEEE TRANSACTIONS ON MULTIMEDIA,12(6),510-522.
MLA Zhang, Shiliang,et al."Affective Visualization and Retrieval for Music Video".IEEE TRANSACTIONS ON MULTIMEDIA 12.6(2010):510-522.

入库方式： OAI收割

来源：计算技术研究所

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