Similarity retrieval of video database based on 3D Z-string

Ping Yu, Chein Shung Hwang, Nai Wen Kuo

研究成果: 書貢獻/報告類型會議貢獻

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.
原文英語
主出版物標題2nd International Symposium on Electronic Commerce and Security, ISECS 2009
頁面56-59
頁數4
2
DOIs
出版狀態已發佈 - 十二月 1 2009
對外發佈Yes
事件2nd International Symposium on Electronic Commerce and Security, ISECS 2009 - Nanchang, 中国
持續時間: 五月 22 2009五月 24 2009

會議

會議2nd International Symposium on Electronic Commerce and Security, ISECS 2009
國家中国
城市Nanchang
期間5/22/095/24/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Economics and Econometrics
  • Finance

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