دورية أكاديمية

Fast Coding Quad-Tree Decisions Using Prediction Residuals Statistics for High Efficiency Video Coding (HEVC).

التفاصيل البيبلوغرافية
العنوان: Fast Coding Quad-Tree Decisions Using Prediction Residuals Statistics for High Efficiency Video Coding (HEVC).
المؤلفون: Tan, Hui Li1, Ko, Chi Chung2, Rahardja, Susanto2
المصدر: IEEE Transactions on Broadcasting. Mar2016, Vol. 62 Issue 1, p128-133. 6p.
مصطلحات موضوعية: VIDEO coding, RATE distortion theory, CODING theory, PREDICTION models, VIDEO codecs
مستخلص: High Efficiency Video Coding (HEVC) is the latest video coding standard to meet market demands for real-time high quality video codecs. As compared to its predecessor H.264/AVC, HEVC can achieve significant compression gains but with higher encoding complexity. Therefore, for real-time applications, significant encoding time reduction is still necessary. In the HEVC test model, the large number of coding quad-tree decisions to be tested during rate-distortion optimization would result in high encoding time. Hence, we propose a method to reduce the high encoding time by pruning the coding quad-trees using prediction residuals statistics. Experimental results from HM16.3-based implementations show that the proposed residual-based pruning method can reduce encoding time by an average of about 44% with an average of about 1.0% coding loss. [ABSTRACT FROM PUBLISHER]
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قاعدة البيانات: Business Source Index
الوصف
تدمد:00189316
DOI:10.1109/TBC.2015.2505406