An efficient automatic video shot size annotation scheme

作者：Wang Meng; Hua Xian Sheng; Song Yan; Lai Wei; Dai Li Rong; Wang Ren Hua

来源：13th International Multimedia Modeling Conference (MMM 2007), 2007-01-09 to 2007-01-12.

This paper presents an efficient learning scheme for automatic annotation of video shot size. Instead of existing methods that applied in sports videos using domain knowledge, we are aiming at a general approach to deal with more video genres, by using a more general low- and mid- level feature set. Support Vector Machine (SVM) is adopted in the classification task, and an efficient co-training scheme is used to explore the information embedded in unlabeled data based on two complementary feature sets. Moreover, the subjectivity-consistent costs for different mis-classifications are introduced to make the final decisions by a cost minimization criterion. Experimental results indicate the effectiveness and efficiency of the proposed scheme for shot size annotation.

• 出版日期2007
• 单位中国科学技术大学