Video Hierarchical Structure Mining

摘要：

To structuralize video streams plays an important role in the processing of video. The basic structure for video is a hierarchical structure which consists of four kinds of components, namely frame, shot, scene, and video program. A simple framework for video hierarchical structure mining is to partition continuous video frames into discrete physical shots, extract features from video shots and construct scene structure based on shots. In this paper, two crucial algorithms of video hierarchical structure mining, Multi-features Shot Clustering (MSC) and Scene Change Detection (SCD), are proposed based on color, texture and semantic similarity of shot. Our experimental results demonstrate the performance of SCD is better than that of MSC.

作者: Chang-Jian FU Guo -Hui LI Jun-Tao WU Chang-Jian FU

作者单位: School of Information System and Management National University of Defense Technology Changsha 41007 Business School Xiangtan University Xiangtan 411105, Hunan, China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 2150-2154

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）