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Calculation of average PSNR differences between RD-curves

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The article was published on 2001-01-01 and is currently open access. It has received 4379 citations till now.

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Journal ArticleDOI

Learning based Facial Image Compression with semantic fidelity metric

TL;DR: A Learning based Facial Image Compression framework with a novel Regionally Adaptive Pooling module whose parameters can be automatically optimized according to gradient feedback from an integrated hybrid semantic fidelity metric, including a successfully exploration to apply Generative Adversarial Network (GAN) as metric directly in image compression scheme.
Proceedings ArticleDOI

Comparative assessment of H.265/MPEG-HEVC, VP9, and H.264/MPEG-AVC encoders for low-delay video applications

TL;DR: A comparative assessment of the two latest video coding standards: H.265/MPEG-HEVC (High-Efficiency Video Coding), H.264/ MPEG-AVC (Advanced Video Coded), and also of the VP9 proprietary video coding scheme was presented.
Proceedings ArticleDOI

Power efficient and workload balanced tiling for parallelized high efficiency video coding

TL;DR: This work presents a HEVC parallelization technique to adaptively determine the Tile partitioning while accounting for the compute capabilities of the underlying processing cores, and determines a mapping of Tiled-HEVC processing on different cores such that the number of compute cores is minimized, and hence reducing the power consumption.
Proceedings ArticleDOI

Position dependent prediction combination for intra-frame video coding

TL;DR: This work presents an extension to HEVC intra prediction that combines values predicted using non-filtered and filtered reference samples, depending on the prediction mode, and block size, and uses the results to derive sets of non-recursive predictors that have superior performance.
Proceedings ArticleDOI

Multi-Task Learning with Compressible Features for Collaborative Intelligence

TL;DR: In this article, a new loss function was proposed to encourage feature compressibility while improving system performance on multiple tasks, which can achieve around 20% bitrate reduction without sacrificing the performance on several vision-related tasks.
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