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 language | English |
|---|---|
| Publication status | Published - 2010 |
| Event | TREC Video Retrieval Evaluation, TRECVID 2010 - Gaithersburg, MD, United States Duration: 2010 Nov 15 → 2010 Nov 17 |
Other
| Other | TREC Video Retrieval Evaluation, TRECVID 2010 |
|---|---|
| Country/Territory | United States |
| City | Gaithersburg, MD |
| Period | 2010/11/15 → 2010/11/17 |
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