A Novel Commercial Break Detection and Automatic Annotation of TV Programs for Content Based Retrieval
In this paper, we present a novel approach for automatic annotation and content based video retrieval by making use of the features extracted during the process of detecting commercial boundaries in a recorded Television (TV) program. In our approach, commercial boundaries are primarily detected using audio and the detected boundaries are enhanced and validated using logo (program name) in the video domain. Detected logo (program name) at the commercial boundaries is used for automatic annotation of recorded video which helps in fast content based video retrievaL The performance and validity of our approach is demonstrated using the videos recorded from different Indian Television broadcasts
Audio visual features Automatic annotation Commercial detection Content based video retrieval Correlation classifier
Venkatesh N Girish Chandra M Rajeev B
Embedded Systems Innovation Lab, Tata Consultancy Services,Bangalore,India
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
1417-1421
2010-07-05(万方平台首次上网日期,不代表论文的发表时间)