Watermarking techniques for intellectual property protection
DAC '98 Proceedings of the 35th annual Design Automation Conference
An introduction to image-based rendering
Integrated image and graphics technologies
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
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SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
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ACM SIGGRAPH 2004 Papers
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3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Effective and scalable video copy detection
Proceedings of the international conference on Multimedia information retrieval
A Simple but Effective Approach to Video Copy Detection
CRV '10 Proceedings of the 2010 Canadian Conference on Computer and Robot Vision
Watermarking of free-view video
IEEE Transactions on Image Processing
Vlfeat: an open and portable library of computer vision algorithms
Proceedings of the international conference on Multimedia
Motion Vector Based Features for Content Based Video Copy Detection
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Coding Algorithms for 3DTV—A Survey
IEEE Transactions on Circuits and Systems for Video Technology
Spider: A system for finding 3D video copies
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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We present a novel system to detect copies of 3D videos. The system creates signatures from the depth signals of 3D videos. It also extracts visual features from video frames and creates compact spatial signatures for videos. The system then uses the depth and spatial signatures to compare a given query video versus a reference video database. The system returns a score indicating whether the query video matches any video in the reference video database, and in case of matching, which portion of the reference video matches the query video. The system is computationally efficient and can be implemented in distributed manner. The system can be used, for example, by video content owners, video hosting sites, and third-party companies to find illegally copied 3D videos. To the best of our knowledge, this is the first complete 3D video copy detection system in the literature. We implemented the proposed system and conducted a rigorous evaluation study using 3D videos with diverse properties. Our experimental results show that the proposed system can achieve high accuracy in terms of precision and recall even if the 3D videos are subjected to several transformations at the same time. For example, the proposed system yields 100% precision and recall when copied videos are parts of original videos, and more than 90% precision and recall when copied videos are subjected to different individual transformations.