Awad, G.
, Over, P.
and Kraaij, W.
(2014),
Content-Based Video Copy Detection Benchmarking at TRECVID, ACM Transactions on Information Systems, [online], https://doi.org/10.1145/2629531
(Accessed May 1, 2025)
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Content-Based Video Copy Detection Benchmarking at TRECVID
Published
Author(s)
, , Wessel Kraaij
Abstract
This paper presents an overview of the video copy detection benchmark which was run over a period of 4 years (2008-2011) as part of the TREC Video Retrieval (TRECVID) workshop series. The main contributions of the paper include i) an examination of the evolving design of the evaluation framework and its components (system tasks, data, measures); ii) a high-level overview of results and best-performing approaches; and iii) a discussion of lessons learned over the four years. The content-based copy detection (CCD) benchmark worked with a large collection of synthetic queries, which is atypical for TRECVID, as was the use of a normalized detection cost framework. These particular evaluation design choices are motivated and appraised.Citation
ACM Transactions on Information Systems
Volume
32
Issue
3
Pub Type
Journals
Download Paper
Keywords
video copy detection, multimedia, evaluation, TRECVID
Citation
Issues
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Created June 1, 2014, Updated November 10, 2018