Content-Based Video Copy Detection Benchmarking at TRECVID

Published

June 1, 2014

Author(s)

George M. Awad, Paul D. Over, 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

https://doi.org/10.1145/2629531

Keywords

video copy detection, multimedia, evaluation, TRECVID

Citation

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 December 1, 2023)