The Study of Documentary Segmentation through Audio and Tezt Understanding

摘要：

Video segmentation is the first and critical step in video indexing and retrieval. Previous work in this area has primarily focused on visual and audio information. In this paper, we investigate the segmentation of documentary video data through audio and text understanding. To segment a continuous documentary video stream into subtopic segments, music markers and domain-independent video speech text segmentation are explored. Experiments are presented and discussed.

作者: Aijuan Dong Baoying Wang

作者单位: Department of Computer Science, Hood College, Frederick, MD 21701 Waynesburg University, Waynesburg, PA 15370

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 460-465

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）