GPU Based High Definition Parallel Video Codec Optimization in Mobile Device

Abstract

The main challenges when using video codec technology on mobile devices are: 1) the explosive growth of multimedia applications renders the computing resource allocation a problem of major importance; 2) high power consumption and limited battery power; 3) high cpu utilization causes the system to be unresponsive. In this paper, a GPU based High Definition Parallel Video Codec (GHPVC) is proposed, which is a low energy consumption and high efficient video codec on mobile devices. First, Frame Data Management model and Prediction Model Selector model are proposed in order to get higher data transmission efficiency and parallel execution efficiency. Second, a GPU based Parallel ME module is proposed because the ME module is the most compute-intensive part and most time consuming module in video codec. The GHPVC is proposed on the basis of conforming to the H.264 standard. Moreover and experimentally evaluated for different GPU devices on different mobile devices. Experimental results show that compared with the existing H.264 scheme, the proposed GHPVC not only has significant improvement in codec performance, but also effectively reduces energy consumption and CPU utilization.