This paper addresses the issues in video copyright using DWT and SVD. The prevailing algorithms countermeasure various attacks and they do not contemplate on the redundancy of frames in the video. Proposed methodology focuses on the identification of non-redundant frames by introducing a fuzzy model for reducing the processing time. The frequently changed scenes are identified by scene change detection algorithm. The key frames are effectively identified from each scene by fuzzy rules using entropy, absolute mean difference and absolute difference of frame variance of the video frames. DWT is applied to the key frames. The watermark image is divided into number of blocks based on the number of key frames selected in the scene. The order of embedding the watermark block in each scene is different. The SVD is applied to the key frames and watermark. In the embedding process, the singular values of key frame are added to the Principal Component (PC) of the watermark bock. The experimental results show that the proposed methodology is resilient to image processing, frame based attacks and also resolves the false positive problem as well as improves the robustness and imperceptibility of video and watermark.