The K-D-B-tree: a search structure for large multidimensional dynamic indexes
SIGMOD '81 Proceedings of the 1981 ACM SIGMOD international conference on Management of data
Feature Extraction and a Database Strategy for Video Fingerprinting
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Efficient video similarity measurement with video signature
IEEE Transactions on Circuits and Systems for Video Technology
Spatiotemporal sequence matching for efficient video copy detection
IEEE Transactions on Circuits and Systems for Video Technology
Robust Video Fingerprinting for Content-Based Video Identification
IEEE Transactions on Circuits and Systems for Video Technology
Accurate content-based video copy detection with efficient feature indexing
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
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In this paper, we propose a video fingerprinting method based on the orientation of luminance centroid. To attain robustness against frame rate change, variation in color characteristics and resizing, video frames are normalized in time, spatial and color domain. Thereafter, the orientation of luminance centroid is calculated as video fingerprint. Under various distortions, the proposed method is evaluated and compared with other centroid-based methods. Experimental results show that the proposed method satisfies the requirements of video fingerprint, and performance comparison with other methods in terms of receiver operating characteristic indicates that the proposed method is more robust and has better discriminatory property than others.