LOW-RATE SEQUENCE IMAGE-CODING VIA VECTOR QUANTIZATION

This paper describes an inter-/intra-frame vector quantization (VQ) coding system, which can achieve adequate performance for video conferencing or videophone with a simple decoding technique (table lookup), and can provide a robust universal codebook for most real world images. The proposed system is constructed by several methods which are motion compensated prediction with conditional pixel replenishment, interframe-VQ coding, intraframe-VQ coding, mean-cut algorithm, and k-d tree structure. Experimental results show that the performance of this system is adequate in spite of the simplicity of the decoder. The test pictures used in this study are captured directly from broadcast video in color with size 144 x 176 pixels.