VIDEO SEGMENTATION BY AUDIO ANALYSIS

摘要：

In this paper, a novel approach based on acoustic cues for automatic segmenting television stream into individual programs is proposed. This presented method is composed of the following steps: Several sets of repetitions in the audio track is detected by using silence detection and robust audio hashing; The found repetitions are treated as advertisements if the range of their length is from 5 seconds to 120 seconds; Programs are segmented from the recorded TV streams using the detected advertisements. Experiments on real-world TV recordings show the effectiveness of the proposed approach.

关键词： Video Segmentation audio hashing video retrieval

作者: Shilin Zhang Hui Wang

作者单位: Faculty of Computer Science, Network and Information Management CenterNorth China University of Tech Faculty of Computer Science, Network and Information Management Center North China University of Tec

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Broadband Network & Multimedia Technology(2010年第三届IEEE宽带网络与多媒体国际会议 IC-BNMT 2010)

会议地点: 北京

会议语种:英文

页码: 870-873

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）