Practical elimination of near-duplicates from web video search
Proceedings of the 15th international conference on Multimedia
Internet image archaeology: automatically tracing the manipulation history of photographs on the web
MM '08 Proceedings of the 16th ACM international conference on Multimedia
An efficient near-duplicate video shot detection method using shot-based interest points
IEEE Transactions on Multimedia
Scalable clip-based near-duplicate video detection with ordinal measure
Proceedings of the ACM International Conference on Image and Video Retrieval
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Fast similarity search and clustering of video sequences on the world-wide-web
IEEE Transactions on Multimedia
Video archaeology: understanding video manipulation history
Multimedia Tools and Applications
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We propose in this paper an automatic video archaeology (AVA) system which is able to trace the manipulation history of online videos. The key of AVA is the construction of a video migration map, which represents the history of how videos have been copied or manipulated among a set of near-duplicates. To construct this map, we designed six kinds of video manipulation detectors, including spatial and temporal scaling detectors, spatial and temporal overlay detectors, boarder detector, and grayscale detector. There are a variety of applications based on the proposed AVA system, such as better understanding of the meaning and context conveyed by the manipulated videos, improving current video search engines by better presentation based on the migration map and better indexing scheme based on the annotation propagation. We evaluated the system over a video set with 12,790 videos and 3,481 duplicates. The experimental results show that AVA is able to effectively discover the manipulation relationship among the near-duplicate videos.