PARALLEL CABAC FOR LOW POWER VIDEO CODING

被引：14

作者：

Sze, Vivienne ^{[1
]}

Chandrakasan, Anantha P. ^{[1
]}

Budagavi, Madhukar ^{[2
]}

Zhou, Minhua ^{[2
]}

机构：

[1] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[2] Texas Instruments Inc, Dallas, TX USA

来源：

2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年

关键词：

video coding; arithmetic coding; parallel processing; CABAC;

D O I：

10.1109/ICIP.2008.4712200

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：2096 / 2099

页数：4

共 6 条

[1] Parallel decoding of clontext-based adaptive binary arithmetic codes based on most probable symbol prediction [J].