Abstract
Context-based adaptive binary arithmetic coding (CABAC) is a single entropy coding mode of the newest video coding standard, High Efficiency Video Coding (HEVC). Despite the high coding efficiency of CABAC, its data dependencies prevent effective parallelization, which also means limited throughput. Accordingly, during the HEVC standardization activity of entropy coding, both coding efficiency and throughput were considered. This paper highlights the key techniques that were proposed and adopted up to HEVC Draft International Standard (DIS). In addition, a new method is proposed for high throughput entropy coding. This method reduces the worst-case complexity of entropy coding without significant coding efficiency loss. From the experimental results, in terms of throughput improvement, we confirm that the proposed method reduces the number of context-coded bins up to 42.1 and 15.9 % on average.
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This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2012–0009228).
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Choi, JA., Ho, YS. High Throughput Entropy Coding in the HEVC Standard. J Sign Process Syst 81, 59–69 (2015). https://doi.org/10.1007/s11265-014-0900-5
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DOI: https://doi.org/10.1007/s11265-014-0900-5