An Efficient Coding Method for Teleconferencing Video and Confocal Microscopic Image Sequences

In this paper we propose a three-dimensional vector quantization-based video coding scheme. The algorithm uses a 3D vector quantization pyramidal codebook-based model with adaptive pyramidal codebook for compression. The pyramidal codebook-based model helps in getting high compression in case of modest motion. The adaptive vector quantization algorithm is used to train the codebook for optimal performance with time. Some of the distinguished features of our algorithm are its excellent performance due to its adaptive behavior to the video composition and excellent compression due to codebook approach. We also propose an efficient codebook-based post-processing techniquewhich enables the vector quantizer to possess higher correlation preservation property. Based on the special pattern of the codebook imposed by post-processing technique, a window-based fast search (WBFS) algorithm is proposed. The WBFS algorithm not only accelerates the vector quantization processing, but also results in better rate-distortion performance.