Memory Bandwidth and Power Reduction Using Lossy Reference Frame Compression in Video Encoding

Gupte, Ajit D and Amrutur, Bharadwaj and Mehendale, Mahesh M and Rao, Ajit V and Budagavi, Madhukar (2011) Memory Bandwidth and Power Reduction Using Lossy Reference Frame Compression in Video Encoding. In: IEEE Transactions on Circuits and Systems for Video Technology, 21 (2). pp. 225-230.

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Abstract

Large external memory bandwidth requirement leads to increased system power dissipation and cost in video coding application. Majority of the external memory traffic in video encoder is due to reference data accesses. We describe a lossy reference frame compression technique that can be used in video coding with minimal impact on quality while significantly reducing power and bandwidth requirement. The low cost transformless compression technique uses lossy reference for motion estimation to reduce memory traffic, and lossless reference for motion compensation (MC) to avoid drift. Thus, it is compatible with all existing video standards. We calculate the quantization error bound and show that by storing quantization error separately, bandwidth overhead due to MC can be reduced significantly. The technique meets key requirements specific to the video encode application. 24-39% reduction in peak bandwidth and 23-31% reduction in total average power consumption are observed for IBBP sequences.

Item Type:	Journal Article
Publication:	IEEE Transactions on Circuits and Systems for Video Technology
Publisher:	IEEE
Additional Information:	Copyright 2011 IEEE. Personal use of this material is permitted.However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	Chroma pixels; DDR SDRAM; luma pixels; macroblock (MB); motion compensation (MC); motion estimation (ME); scalar quantization
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	24 Mar 2011 06:12
Last Modified:	24 Mar 2011 06:15
URI:	http://eprints.iisc.ac.in/id/eprint/36204

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