Design and implementation of an object-based video coder chip set based on syntactic pattern recognition

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.