Adaptive low power decoding process with temporal prediction method for common video

Abstract

This paper introduces an adaptive low power decoding process with temporal prediction method for common video. This method can be used to reduce the decoding time and reduce the decoding power consumption by skipping the decoding process of some frames and reducing the frame rate. With the temporal prediction, it is different from the certain frame skipping scheme in the temporal scalable decoding process with frame rate down conversion method (TSDP). This method considers the video quality loss when the current frame is skipped and chooses the skipping scheme which causes minimum cost, so this method can be also used in the common video cases. And compares with the temporal scalable decoding process with frame rate down conversion method, the video quality (PSNR) is improved about 0.01 - 2.4 dB in the experimental common video cases by using the temporal prediction method. And can reduce the decoding time based on the number of the skipped frames, and it can get about 65% - 86% reduction which compares with the frame rate reduction in the experimental cases.