A Multiple Features Video Copy Detection Algorithm Based on a SURF Descriptor = A Multiple Features Video Copy Detection Algorithm Based on a SURF Descriptor

다국어 초록 (Multilingual Abstract)

Considering video copy transform diversity, a multi-feature video copy detection algorithm based on a Speeded-Up Robust Features (SURF) local descriptor is proposed in this paper. Video copy coarse detection is done by an ordinal measure (OM) algorithm after the video is preprocessed. If the matching result is greater than the specified threshold, the video copy fine detection is done based on a SURF descriptor and a box filter is used to extract integral video. In order to improve video copy detection speed, the Hessian matrix trace of the SURF descriptor is used to pre-match, and dimension reduction is done to the traditional SURF feature vector for video matching. Our experimental results indicate that video copy detection precision and recall are greatly improved compared with traditional algorithms, and that our proposed multiple features algorithm has good robustness and discrimination accuracy, as it demonstrated that video detection speed was also improved.

참고문헌 (Reference)

1 S. Ozkan, "Visual group binary signature for video copy detection" 3945-3950, 2014

2 G. Mantena, "Speed improvements to information retrieval-based dynamic time warping using hierarchical k-means clustering" 8515-8519, 2013

3 J. Cruz-Mota, "Scale invariant feature transform on the sphere : theory and applications" 98 (98): 217-241, 2012

4 H. Liu, "SVD-SIFT for web near-duplicate image detection" 1445-1448, 2010

5 S. Lee, "Robust video fingerprinting for content-based video identification" 18 (18): 938-988, 2008

6 S. R. Shinde, "Recent advances in content based video copy detection" 346-351, 2015

7 H. Peng, "Learning to multimodal hash for robust video copy detection" 4482-4486, 2013

8 B. Kulis, "Kernelized locality-sensitive hashing" 34 (34): 1092-1104, 2012

9 Y. Zhou, "Detecting anomaly in videos from trajectory similarity analysis" 1087-1090, 2007

10 A. Natsev, "Design and evaluation of an effective and efficient video copy detection system" 1353-1358, 2010

11 A. Joly, "Content based copy retrieval using distortion-based probabilistic similarity search" 9 (9): 293-306, 2007

12 Y. W. Zhao, "An object retrieval method based on randomized visual dictionaries and query expansion" 34 (34): 1154-1161, 2012

13 K. Mikolajczyk, "A performance evaluation of local descriptors" 27 (27): 1615-1630, 2005