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PARALLEL CABAC FOR LOW POWER VIDEO CODING
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DOI：10.1109/ICIP.2008.4712200.png)
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Abstract
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With the growing presence of high definition video content on battery-operated handheld devices such as camera phones, digital still cameras, digital camcorders, and personal media players, it is becoming ever more important that video compression be power efficient. A popular form of entropy coding called Context-Based Adaptive Binary Arithmetic Coding (CABAC) provides high coding efficiency but has limited throughput. This can lead to high operating frequencies resulting in high power dissipation. This paper presents a novel parallel CABAC scheme which enables a throughput increase of N-fold (depending on the degree parallelism), reducing the frequency requirement and expected power consumption of the coding engine. Experiments show that this new scheme (with N=2) can deliver similar to 2x throughput improvement at a cost of 0.76% average increase in bit-rate or equivalently a decrease in average PSNR of 0.025dB on five 720p resolution video clips when compared with H.264/AVC.
Keywords:
video coding
arithmetic coding
parallel processing
CABAC
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