High efficient distributed video coding with parallelized design for cloud computing

Han-Ping Cheng, Yun-Chung Shen, Ja-Ling Wu, Kiyoharu Aizawa

Abstract: In this work, by combining coding tools developed in recent literatures on transform domain WZ video coding with some newly developed modules on both encoding and decoding sides, an efficient and practical WZ video coding architecture, dubbed as DIStributed video coding with PArallelized design for Cloud computing (DISPAC), is proposed to better the corresponding rate-distortion (RD) performance. Another unique feature of DISPAC, lies in the parallelizability of the modules used by its WZ decoder which increased the decoding speed largely. Experimental results conducted on an emulated Could computing environment reveal that DISPAC codec can gain up to 3.6 dB in the RD measures and 60.97 times faster in the decoding speed as compared with the-state-of-art WZ video codec, respectively