The latest High Efficiency Video Coding (HEVC) standard significantly improves coding efficiency over its previous video coding standards. The expense of such improvement is enormous computational complexity, from bot...
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The latest High Efficiency Video Coding (HEVC) standard significantly improves coding efficiency over its previous video coding standards. The expense of such improvement is enormous computational complexity, from both encoding and decoding sides. Since computational capability and power capacity are diverse across portable devices, it is necessary to reduce decodingcomplexity to a target with tolerable quality loss, so called complexitycontrol. This paper proposes a saliency-guided complexitycontrol (SGCC) approach for HEVC decoding, which reduces the decodingcomplexity to the target with minimal perceptual quality loss. First, we establish the SGCC formulation to minimize perceptual quality loss at the constraint on reduced decodingcomplexity, which is achieved via disabling deblocking filter (DF) and simplifying motion compensation (MC) of some non-salient coding tree units (CTUs). One important component in this formulation is the modeled relationship between decodingcomplexity reduction and DF disabling/MC simplification, which determines the control accuracy of our approach. Another component is the modeled relationship between quality loss and DF disabling/MC simplification, responsible for optimizing perceptual quality. By solving the SGCC formulation for a given target complexity, we can obtain the DF and MC settings of each CTU, and then decodingcomplexity can be reduced to the target. Finally, the experimental results validate the effectiveness of our SGCC approach, from the aspects of control performance, complexity-distortion performance, and fluctuation of quality loss and subjective quality.
Context-based adaptive variable length coding (CAVLC) and universal variable length coding (UVLC) are two entropy coding tools that are supported in all profiles of H.264/AVC coders. In this paper, we investigate the ...
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Context-based adaptive variable length coding (CAVLC) and universal variable length coding (UVLC) are two entropy coding tools that are supported in all profiles of H.264/AVC coders. In this paper, we investigate the relationship between the bit rate and the CAVLC/UVLC decodingcomplexity. This relationship can help the encoder choose the best coding parameter to yield the best tradeoff between the rate, distortion, and the decodingcomplexity performance. A practical application of CAVLC/UVLC decodingcomplexity reduction is also discussed. (C) 2010 Elsevier Inc. All rights reserved.
The increased demand for high quality video evidently elevates the bandwidth require- ments of the communication channels being used, which in return demands for more efficient video coding algorithms within the media...
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The increased demand for high quality video evidently elevates the bandwidth require- ments of the communication channels being used, which in return demands for more efficient video coding algorithms within the media distribution tool chain. As such, High Efficiency Video Coding (HEVC) video coding standard is a potential solution that demonstrates a significant coding efficiency improvement over its predecessors. HEVC constitutes an assortment of novel coding tools and features that contribute towards its superior coding performance, yet at the same time demand more compu- tational, processing and energy resources; a crucial bottleneck, especially in the case of resource constrained Consumer Electronic (CE) devices. In this context, the first contribution in this thesis presents a novel content adaptive Coding Unit (CU) size prediction algorithm for HEVC-based low-delay video encoding. In this case, two in- dependent content adaptive CU size selection models are introduced while adopting a moving window-based feature selection process to ensure that the framework remains robust and dynamically adapts to any varying video content. The experimental results demonstrate a consistent average encoding time reduction ranging from 55% – 58% and 57% – 61% with average Bjontegaard Delta Bit Rate (BDBR) increases of 1.93% – 2.26% and 2.14% – 2.33% compared to the HEVC 16.0 reference software for the low delay P and low delay B configurations, respectively, across a wide range of content types and bit rates. The video decodingcomplexity and the associated energy consumption are tightly coupled with the complexity of the codec as well as the content being decoded. Hence, video content adaptation is extensively considered as an application layer solution to reduce the decodingcomplexity and thereby the associated energy consumption. In this context, the second contribution in this thesis introduces a decodingcomplexity- aware video encoding algorithm for HEVC using a novel d
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