DocumentCode :
248440
Title :
A 2014 Mbin/s deeply pipelined CABAC decoder for HEVC
Author :
Yu-Hsin Chen ; Sze, Vivienne
Author_Institution :
Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
2110
Lastpage :
2114
Abstract :
High Efficiency Video Coding (HEVC) is the latest video standard that specifies video resolutions up to 8K Ultra-HD (UHD) at 120 fps to support the next decade of video applications. This results in high throughput requirements for the Context Adaptive Binary Arithmetic Coding (CABAC) entropy decoder, which was already a well-known bottleneck in H.264/AVC. Several modifications were made to the HEVC CABAC to address the throughput challenges. This work leverages these improvements in the design of a high throughput HEVC CABAC decoder. The proposed design uses a deeply pipelined architecture to achieve a high clock rate. Additional techniques such as state prefetch logic, latched-based context memory, and separate finite state machines are applied to minimize stall cycles, while multi-bypass bins decoding is used to further increase the throughput. The design is synthesized in a IBM 45nm SOI process, and achieves throughputs up to 2014 and 2748 Mbin/s under common and worst-case test conditions, respectively, at 1.9 GHz operating frequency. The results show that the design is sufficient to decode video bitstreams in real-time at Level 6.2, or at Level 6.0 for applications requiring sub-frame latency.
Keywords :
adaptive decoding; video coding; CABAC decoder; HEVC; UHD; Ultra-HD; context adaptive binary arithmetic coding entropy decoder; finite state machines; high efficiency video coding; latched-based context memory; pipelined architecture; state prefetch logic; Artificial intelligence; Context; Decoding; Prefetching; Syntactics; Throughput; Video coding; CABAC; H.265; High Efficiency Video Coding (HEVC); Video Compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025423
Filename :
7025423
Link To Document :
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