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Near-duplicate web video retrieval and localization using improved edit distance

  • Hao Liu*
  • , Qingjie Zhao
  • , Hao Wang
  • , Cong Zhang
  • *此作品的通讯作者
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the development of network, there exists many nearduplicate videos online shared by individuals. These ones cause problems such as copyright infringement and search result redundancy. To solve the issues, this paper proposes a filter-and-refine framework for near-duplicate video retrieval and localization. By regarding video sequences as strings, Edit distance is used and improved in the approach. Firstly, bag-of-words (BOW) model is utilized to measure the similarities between frames. Then, non-near-duplicate videos are filtered out by computing the proposed relative Edit distance similarity (REDS). Next, a dynamic programming strategy is proposed to rank the remained videos and localize the similar segments. Experiments demonstrate the effectiveness and robustness of the method in retrieval and localization.

源语言英语
主期刊名Web Technologies and Applications - 18th Asia-Pacific Web Conference, APWeb 2016, Proceedings
编辑Guanfeng Liu, Feifei Li, Kyuseok Shim, Kai Zheng
出版商Springer Verlag
141-152
页数12
ISBN(印刷版)9783319458137
DOI
出版状态已出版 - 2016
活动18th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2016 - Suzhou, 中国
期限: 23 9月 201625 9月 2016

丛书

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9931 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议18th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2016
国家/地区中国
Suzhou
时期23/09/1625/09/16

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