Similarity Retrieval of Video Database Based on 3D Z-string

摘要：

Recently, the video retrieval processing is concerned with retrieving videos that are relevant to the users requests from a large collection of videos, referred to as a video database. We have proposed 3D Z-string to represent symbolic videos accompanying with the string generation and video reconstruction algorithms. In this paper, we proposed the spatial-temporal similarity retrieval approach of vides in 3D Z-string. Our approach defines a set of user assigned weights, based on the factors of spatial-temporal relations of object pairs in a video, in order to rank the retrieval videos. We use dynamic programming to calculate the similarity measures and propose the similarity retrieval algorithm. By providing various criterion of similarity between videos to match user requirement, our proposed similarity retrieval algorithm has discrimination power about different criteria.

关键词： Video database Spatial-temporal inference Similarity retrieval 3D Z-string

作者: Ping Yu Chein-Shung Hwang NaiWen Kuo

作者单位: Dept.of Information Management, Chinese Culture University Taipei, Taiwan

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 712-715

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）