Low-complexity intra prediction algorithm for video down-sizing transcoder

This paper presents an efficient intra mode decision scheme for down-sizing video transcoding in H.264 using support vector machines (SVMs). In order to reduce the high computational complexity of intra prediction in the H.264 re- encoder, the proposed scheme uses SVMs to exploit the correlation between coding information extracted from the input high-resolution bit-stream and the coding modes of macro- blocks in down-sized video, and turns the intra mode decision problem into pattern classification problem to achieve low complexity video transcoding framework. After the SVMs classifier, improbable modes are eliminated and only a small number of candidate modes are carried out using the RDO operations. Hence, remarkable computing time of up to 65.3% can be saved with trivial bit gain and quality loss.