Title :
Luminance and Chrominance Parallelization of H.264/AVC Decoding on a Multi-core Processor
Author :
Xiaofu Meng ; Xiang Gao ; Qian Yu ; Shuangshuang Zhang ; Xiaochun Zhang ; Jing Huang
Author_Institution :
Key Lab. of Comput. Syst. & Archit., Beijing, China
Abstract :
This paper proposes a novel method to optimizing H.264 decoding on multi-core processors by exploiting color component level parallelism. Compared with sequential decoding and macro-block level parallelism, the proposed method achieves optimal balance between performance and scalability. The optimization scheme is mapped on a 64-bit MIPS multi-core processor, and is evaluated with standard test streams. Experimental results show that the method improves video decoding performance by 2 times on average without increasing memory consumption, and could be easily applied on other multi-core processors.
Keywords :
decoding; image colour analysis; multiprocessing systems; video coding; H.264 decoding; H.264/AVC decoding; MIPS multicore processor; chrominance parallelization; color component level parallelism; luminance; multicore processors; optimization scheme; video decoding performance; word length 64 bit; Decoding; Multicore processing; Parallel processing; Pipelines; Standards; Streaming media; Video coding; H.264/AVC; function parallelization; function pipeline; luminance and chrominance parallelization; video decoding;
Conference_Titel :
Networking, Architecture and Storage (NAS), 2013 IEEE Eighth International Conference on
Conference_Location :
Xi´an
DOI :
10.1109/NAS.2013.39