High Performance and Hardware Efficient Multiview Video Coding Frame Scheduling Algorithms and Architectures

Abstract

Multiview video coding (MVC) provides more realistic 3-D scenes adding depth information derived from multiple cameras than single-or stereo-view video coding. In MVC, video frames obtained from each view are simply scheduled to corresponding encoding channels. However, under such a conventional scheduling technique the encoding times of each channel may not be identical, degrading encoding performance. To address this problem, this paper proposes two MVC frame scheduling schemes and their architectures: a hardware resource aware scheduling and a frame waiting time aware scheduling (WTaS). Here, WTaS considers the waiting time of each frame stored in on-chip SRAM during frame scheduling, thereby reducing SRAM size significantly. Experimental results show that the proposed frame scheduling schemes provide 29.4% faster processing time, compared to the conventional counterpart. In addition, we can improve the core area, on-chip SRAM area, and the power dissipation by 26.7%, 23.2%, and 26.6%, respectively.