Dynamic Computational Resource Allocation for Fast Inter Frame Coding in Video Conferencing Applications

Abstract

In response to the serious increase in complexity brought by the growing trend of video coding tools, this paper proposes a dynamic computational resource allocation algorithm for conference videos to improve the inter frame coding speed, which is mainly aimed at the new coding unit (CU) partitioning modes in AVS3. In the proposed algorithm, the numbers of extended quad tree (EQT) or binary tree (BT) partitions at largest coding unit (LCU) level are firstly predicted based on the evaluation of texture variation. Then the allowed partition for the current area will be dynamically allocated ac-cording to the prediction. Finally, the relatively large size CUs, which are determined by the proposed threshold, will be restricted from using EQT to further reduce complexity. Experimental results show that the proposed algorithm can effectively reduce the computational complexity while ensuring rate-distortion (R-D) performance, and can even obtain bit rate savings for certain thresholds.