Title :
Motion adaptive classified vector quantization for ATM video coding
Author :
Feng, Jian ; Lo, Kwok-Tung ; Mehrpour, Hassan
Author_Institution :
Sch. of Electr. Eng., New South Wales Univ., Sydney, NSW, Australia
fDate :
5/1/1995 12:00:00 AM
Abstract :
In this paper, a two-layer motion adaptive classified vector quantizer (MACVQ) is proposed for ATM video coding. The proposed method classifies image blocks into three different motion classes: slow-motion, medium-motion and fast-motion. Specified vector quantizers are then designed to encode different motion blocks. A simple edge-based classified vector quantizer is developed to encode the motion-compensated prediction (MCP) error. Compared with the MPEG-type DCT interframe coder, the proposed MACVQ coder has better MSE performance and less accumulation error between consecutive frames
Keywords :
asynchronous transfer mode; edge detection; image classification; prediction theory; vector quantisation; video coding; ATM video coding; MACVQ coder; MPEG-type DCT interframe coder; MSE performance; accumulation error; consecutive frames; encoding; fast-motion; image blocks; medium-motion; motion adaptive classified vector quantization; motion classes; motion-compensated prediction error; simple edge-based classified vector quantizer; slow-motion; Asynchronous transfer mode; Computer errors; Design for disassembly; Discrete cosine transforms; HDTV; High definition video; Vector quantization; Video coding; Video on demand; Videoconference;
Journal_Title :
Consumer Electronics, IEEE Transactions on
