NTNU-Academia Sinica at TRECVID 2010 content based copy detection

Mei Chen Yeh, Chao Yung Hsu, Chun Shien Lu

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)


This paper presents two video copy detection systems built for the TRECVID 2010 content-based copy detection task. Three runs were submitted using video-only content. Two systems differ in terms of the feature design as well as the matching scheme. In this paper we overview the underlying methodologies and discuss the various design choices for developing a practical video copy detection system.

Original languageEnglish
Publication statusPublished - 2010
EventTREC Video Retrieval Evaluation, TRECVID 2010 - Gaithersburg, MD, United States
Duration: 2010 Nov 152010 Nov 17


OtherTREC Video Retrieval Evaluation, TRECVID 2010
Country/TerritoryUnited States
CityGaithersburg, MD


  • Content-based copy detection
  • Video matching

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software


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