Video Fingerprinting System Using Wavelet and Error Correcting Code

In this paper, we present a video fingerprinting system to identify the source of illegal copies. Content is distributed along a specified tree, with the seller as the root of the tree, the legitimate users as the leaves, and the internal nodes as content buyer or seller. Because there is a limited number of user areas available in each tree, we propose to build sub-trees, where each sub-tree has a distinctive logo. In this paper, we will use logos which are bit mapped images of the tree number. The extracted logo shows better performance visually using ECC. The fingerprinting step is achieved by the insertion of a unique information in the video wavelet coefficients by temporal wavelet transform. Our fingerprinting system is able to detect unique fingerprinting information in video content even if it has been distorted. In addition, our method does not need original video frame for extraction step.