Sachin V, Rahul Vasist, Shashank Hegde, Shashikiran and M.Uttarakumari, RVCE, India

Video compression is one of the most important blocks of an image acquisition system. Compression of video results in reduction of transmission bandwidth. In real time video compression the incoming video data is directly compressed without being stored first. Therefore real time video compression system operates under stringent timing constraints. Current video compression standards like MPEG, H.26x series, involve emotion estimation and compensation blocks which are highly computationally expensive and hence they are not suitable for real time applications on resource scarce systems. Current applications like video calling, video conferencing require low complexity video compression algorithms so that they can be implemented in environments that have scarce computational resources (like mobile phones). A low complexity video compression algorithm based on 2D SVD exists. In this paper, a modification to that algorithm which provides higher PSNR at the same bit rate is presented.

2D SVD, low complexity video compression