i.MTV: an integrated system for mtv affective analysis

Authors:
Shiliang Zhang;Qingming Huang;Qi Tian;Shuqiang Jiang;Wen Gao
Affiliations:
Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;University of Texas at San Antonio, San Antonio, TX, USA;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences and Peking University, Beijing, China
Venue:
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Year:
2008

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Abstract

In modern time, MTV 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. It has become an significant task to develop new techniques for natural, user-friendly, and effective MTV access. In this demo, an integrated system (i.MTV) is constructed for MTV Affective Analysis, Visualization, Retrieval, and User Profile Analysis. We not only perform the effective MTV affective analysis, but also propose novel Affective Visualization techniques to make the abstract affective states intuitive and friendly to users. Based on the affective analysis and visualization, MTV affective retrieval and management are achieved. Furthermore, novel methods are proposed for user affective preferences analysis and MTV recommendation.