Roopalakshmi, R.Guddeti, G.2026-02-0620122012 International Conference on Signal Processing and Communications, SPCOM 2012, 2012, Vol., , p. -https://doi.org/10.1109/SPCOM.2012.6290006https://idr.nitk.ac.in/handle/123456789/32900Pirate copies of movies are proliferating on the Internet and causing huge piracy issues. Any anti-piracy strategy requires not only copy detection but also precise frame alignment of pirate video with master content, prior to the estimation of geometric distortions and capture location in a theater. Most studies in pirate video registration focus on the alignment of watermarked sequences, while few efforts are made to align non-watermarked videos using content-based features. In this paper, we propose a spatio-temporal scheme for aligning pirate and master contents using visual features, which consists of three stages: First, a video sequence is compactly represented using 1-D SURF (Speeded-Up Robust Features) signatures; Second, temporal frame alignments are computed using sliding window based dynamic programming method; Third, robust SURF descriptors are employed to generate spatial frame alignments. The results demonstrate the improved registration accuracy of the proposed method against various transformations. © 2012 IEEE.dynamic programminggeometric alignmentSURFtemporal registrationVideo copy