Title :
Design and implementation of an object-based video coder chip set based on syntactic pattern recognition
Author :
Martinez-Smith, Alfonso ; Mathew, Sanu K. ; Sridhar, Ramalingam
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
Abstract :
This paper presents the design and partial implementation of a chip set for a new object-based video coding technique. The hardware algorithm uses unsupervised learning of image contents for efficient second-generation coding of video. Computational complexity is controlled by storing a minimum feature set, upon which higher level contents are defined. Numerical results for test video sequences are given
Keywords :
CMOS digital integrated circuits; VLSI; application specific integrated circuits; computational complexity; digital signal processing chips; image sequences; motion estimation; pattern recognition; unsupervised learning; video coding; computational complexity control; image content; minimum feature set; object-based video coder chip set; second-generation coding; syntactic pattern recognition; unsupervised learning; video sequences; Bit rate; Computational complexity; Hardware; Image coding; MPEG 4 Standard; Multimedia communication; Multimedia databases; Pattern recognition; Streaming media; Video coding;
Conference_Titel :
ASIC Conference and Exhibit, 1997. Proceedings., Tenth Annual IEEE International
Conference_Location :
Portland, OR
Print_ISBN :
0-7803-4283-6
DOI :
10.1109/ASIC.1997.617016
