Segment Oriented Search (SOS) Method for TV Repeats Detection
TV commercials on broadcast television stations are repeats with essentially no changes. They can vary from several seconds in length to several minutes. The problem of finding repeating unknown commercials is highly related to video processing techniques, such as video segmentation, indexing and retrieval. In this paper, we propose a recognition system which shows how repeating commercials can be identified in a TV stream using a novel scheme. Our architecture assumes no a prior knowledge of TV streams or commercials and doesn t require a pre-trained database. The experimental result on the live TV streams show that the proposed algorithms are effective in detecting repeats in digital television video stream.
Yijun Li Ming Xue Jesse S. Jin
School of Design, Communication and Information Technology The University of Newcastle, NSW2308 Aust School of Computer Science & Technology Nanjing University of Posts and Telecommunication, China
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
863-868
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）