Title :
Real-time VLSI architecture for video compression
Author :
Fatemi, O. ; Panchanathan, S.
Author_Institution :
Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
Abstract :
Video compression is becoming increasingly important in several applications. Vector quantization (VQ) is a powerful technique for very low bit rate image/video compression and is an attractive technique for mobile multimedia applications. Adaptive VQ techniques provide an excellent coding performance at the expense of significant increases in computational complexity making real-time implementation difficult. We propose a VLSI chip-set design to implement a high performance cache based (adaptive) VQ (CVQ) technique using VHDL for real-time video compression
Keywords :
VLSI; adaptive signal processing; data compression; digital signal processing chips; hardware description languages; multimedia communication; real-time systems; vector quantisation; video coding; VHDL; VLSI chip-set design; adaptive VQ; cache based adaptive VQ; coding performance; computational complexity; mobile multimedia applications; real time video compression; real-time VLSI architecture; vector quantization; very low bit rate compression; Algorithm design and analysis; Bit rate; Computational complexity; Computer architecture; Image coding; Software algorithms; Vector quantization; Very large scale integration; Video compression; Videoconference;
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2766-7
DOI :
10.1109/CCECE.1995.528091