Computation of Normalized Edit Distance and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Content-based retrieval of video shot using the-improved nearest feature line method
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Efficient video similarity measurement with video signature
IEEE Transactions on Circuits and Systems for Video Technology
Scalable near identical image and shot detection
Proceedings of the 6th ACM international conference on Image and video retrieval
An Efficient Method for Near-Duplicate Video Detection
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Bounded coordinate system indexing for real-time video clip search
ACM Transactions on Information Systems (TOIS)
Video copy detection by fast sequence matching
Proceedings of the ACM International Conference on Image and Video Retrieval
Motion information for video retrieval
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Information Processing and Management: an International Journal
International Journal of Multimedia Data Engineering & Management
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To locate a video clip in large collections is very important for retrieval applications, especially for digital rights management. In this paper, we present a novel technique for automatic identification of digital video. This new algorithm is based on dynamic programming that fully uses the temporal dimension to measure the similarity between two video sequences. A normalized chromaticity histogram is used as a feature which is illumination-invariant. Dynamic programming is applied on shot-level to find the optimal nonlinear mapping between video sequences. Two new normalized distance measures are presented for video sequence matching. One measure is based on the normalization of the optimal path found by dynamic programming. The other measure combines both the visual features and the temporal information. Experimental results show that the shot-level approach is robust to frame rate conversion, color correction, and compressions. The proposed distance measures are suitable for variable-length comparisons.