Image sequence coding using temporal co-occurrence matrices

摘要

Applications of the temporal co-occurrence matrices to interframe video coding are discussed. In the area of low bit-rate coding an adaptive version of a simple predictive/transform coding technique is proposed which increases the subjective quality of the coded images. The adaptive process is based on the homogeneity criterion calculated from the temporal co-occurrence matrices of the image sequence. In multi-layer video coding, an algorithm for the classification of the frame differences information is introduced. It divides the interframe picture element changes into two groups, exploiting the psychovisual characteristics of the human visual system (HVS). The experimental results show the simplicity and speed of operations of the temporal co-occurrence matrices for a wide range of applications in interframe video coding.