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Video Copy Detection Using Multiple Visual Cues and MPEG-7 Descriptors (2010)
| Content Provider | CiteSeerX |
|---|---|
| Author | Kucuktunc, Onur Bastan, Muhammet Güdükbay, Ugur Ulusoy, Özgür |
| Abstract | We propose a video copy detection framework that detects copy segments by fusing the results of three different techniques: facial shot matching, activity subsequence matching, and non-facial shot matching using low-level features. In facial shot matching part, a high-level face detector identifies facial frames/shots in a video clip. Matching faces with extended body regions gives the flexibility to discriminate the same person (e.g., an anchor man or a political leader) in different events or scenes. In activity subsequence matching part, a spatio-temporal sequence matching technique is employed to match video clips/segments that are similar in terms of activity. Lastly, the non-facial shots are matched using low-level MPEG-7 descriptors and dynamic-weighted feature similarity calculation. The proposed framework is tested on the query and reference dataset of CBCD task of TRECVID 2008. Our results are compared with the results of top-8 most successful techniques submitted to this task. Promising results are obtained in terms of both effectiveness and efficiency |
| File Format | |
| Volume Number | 21 |
| Journal | VISUAL COMMUNICATION AND IMAGE REPRESENTATION |
| Language | English |
| Publisher Date | 2010-01-01 |
| Access Restriction | Open |
| Subject Keyword | Mpeg-7 Descriptor Non-facial Shot Facial Shot Matching Video Copy Detection Framework Anchor Man Different Technique Facial Shot Spatio-temporal Sequence Matching Technique Video Clip Segment Political Leader Cbcd Task Low-level Feature Dynamic-weighted Feature Similarity Calculation Body Region Reference Dataset Video Clip Activity Subsequence Low-level Mpeg-7 Descriptor Different Event High-level Face Detector Facial Frame Shot Successful Technique Copy Segment Activity Subsequence Matching Promising Result |
| Content Type | Text |
| Resource Type | Article |
