DocumentCode :
672258
Title :
Low power architecture for motion compensation in a 4K Ultra-HD AVC and HEVC video codec system
Author :
Sanghvi, Hetul
Author_Institution :
Texas Instrum. (I) Pvt. Ltd., Bangalore, India
fYear :
2013
fDate :
9-11 Dec. 2013
Firstpage :
400
Lastpage :
404
Abstract :
Motion Compensation in Video Codec is a step where blocks of pixels from Reference Picture are fetched and interpolated to form the prediction image for the current picture being processed. There are several challenges in implementing this functionality in hardware - (1) to identify the minimum set of reference pixels needed to give the required prediction image in an efficient manner from external memory, (2) to fetch these pixels from the external memory at a rate to match the 4K Ultra HD frame processing and (3) to perform the processing in a power optimal manner. This paper describes architecture for motion compensation hardware which integrates command preparation, a 2D reference pixel data caching scheme, a DMA engine and a power efficient pixel interpolation engine. The 2D caching technique helps in reducing the LPDDR2 SDRAM power for a 4k Ultra-HD decoder by up to 70 mW and bandwidth by 800 MB/s (50% reduction), increasing the typical 1080p30 HDMI playback time by 2 hours. The motion compensation hardware module dissipates 3 mW for 1080p30 decode.
Keywords :
DRAM chips; cache storage; high definition video; interpolation; motion compensation; video codecs; video coding; 2D caching technique; 2D reference pixel data caching scheme; 4K ultra-HD AVC; 4K ultra-HD frame processing; HDMI playback time; HEVC video codec system; LPDDR2 SDRAM; high efficiency video coding; motion compensation; pixel interpolation engine; power 3 mW; prediction image; reference picture; time 2 hour; Bandwidth; Conferences; Engines; High definition video; Information processing; Motion compensation; Vectors; 2D Cache; Cache; DMA; H.264; HEVC; Low power; MPEG4/AVC; Motion Compensation; Ultra HD;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Information Processing (ICIIP), 2013 IEEE Second International Conference on
Conference_Location :
Shimla
Print_ISBN :
978-1-4673-6099-9
Type :
conf
DOI :
10.1109/ICIIP.2013.6707623
Filename :
6707623
Link To Document :
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