Video Compression Optimization and Rate Control for Cyberspace Application

Video traffic has become the principal part of data resources in the current cyberspace which brings many challenges such as security, stability and scalability of streaming transmission. Moreover, how to ensure high visual quality while obtaining a significant bit-rate reduction has always been the focus of the industry. By constructing a source distortion temporal propagation (SDTP) model, this paper proposes a temporal dependent RDO (TDRDO) algorithm to resolve the global RDO problem in the temporal domain. Besides, a fuzzy logic based rate control (FLRC) algorithm is proposed to robustly regulate encoding bit-rates. The two algorithms have previously been adopted by Audio Video Coding Standard Workgroup of China and integrated into the second generation (AVS2). Experimental results prove the excellence of the proposed algorithms, for significantly improving the AVS2 video coding performance and providing AVS2 with superb efficiency to compete with HEVC/H.265 in modern video compression.