Video Temporal Segmentation Using Support Vector Machine

摘要：

A first step required to allow video indexing and retrieval of visual data is to perform a temporal segmentation,that is,to find the location of camera-shot transitions,which can be either abrupt or gradual.We adopt SVM technique to decide whether a shot transition exists or not within a given video sequence.Active learning strategy is used to accelerate training of SVMclassifiers.We also introduce a new feature description of video frame based on Local Binary Pattern (LBP).Cosine Distance is used to qualify the difference between frames in our works.The proposed method is evaluated on the TRECVID-2005 benchmarking platform and the experimental results reveal the effectiveness of the method.

关键词： shot boundary detection temporal video segmentation video retrieval support vector machine

作者: Shaohua Teng Wenwei Tan

作者单位: Guangdong University of Technology,Guangzhou,P.R.China

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 442-447

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）