A Novel 3D Video Fingerprinting Algorithm Based on Local Feature Points

摘要

Digital rights management of the 3 D contents is a crucial open issue in the 3 D video industry. A novel robust fingerprinting algorithm is proposed for protecting the copyright of the 3 D video. Unlike the existing algorithms extracting visual features separately from the 2 D videos and the depth maps, in our algorithm a novel local stereo space is constructed according to the depth information of the pixels around the extracted local feature points in the 2 D videos, and the 3 D videos are processed in a holistic manner. In the proposed space,the 3 D-transform-feature is extracted and aggregated into a feature matrix, and then the compact 3 D video fingerprints are obtained from the eigenspace of the matrix. Our comprehensive experiments are conducted on a 3 D video database, and the results have demonstrated the robustness and discrimination of the proposed algorithm. Moreover, our fingerprints cost less storage spaces than the existing approaches.