NTNU-Academia Sinica at TRECVID 2010 content based copy detection

Mei Chen Yeh, Chao Yung Hsu, Chun Shien Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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
Title of host publication2010 TREC Video Retrieval Evaluation Notebook Papers
PublisherNational Institute of Standards and Technology
Publication statusPublished - 2010
Externally publishedYes
EventTREC Video Retrieval Evaluation, TRECVID 2010 - Gaithersburg, MD, United States
Duration: 2010 Nov 152010 Nov 17

Other

OtherTREC Video Retrieval Evaluation, TRECVID 2010
CountryUnited States
CityGaithersburg, MD
Period10/11/1510/11/17

Keywords

  • 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

Cite this

Yeh, M. C., Hsu, C. Y., & Lu, C. S. (2010). NTNU-Academia Sinica at TRECVID 2010 content based copy detection. In 2010 TREC Video Retrieval Evaluation Notebook Papers National Institute of Standards and Technology.