Video Compression Based on Adaptive Multidimensional Vector Matrix DCT

The traditional multi-dimensional vector matrix discrete cosine transform compression adopts video frame segmentation of fixed block size. In fact, the texture complexities of image in different regions are usually very different, so transformation adaptively with proper block size, not only further improves the compression performance, but also gets better improvement in subject evaluation. A three-dimensional variable block size video images segmentation method is proposed by using gradient edge detection operator as image activity criterion, and implement variable block size multi-dimensional vector matrix transform coding, experimental results show that the proposed method gets better performance than H. 264, and the quality of the reconstructed images is improved in subject evaluation. It is very efficient for low Bit Rate video compression.