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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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Proceedings ArticleDOI

FVC: A New Framework towards Deep Video Compression in Feature Space

TL;DR: Wang et al. as mentioned in this paper proposed a feature-space video coding network (FVC) by performing all major operations (i.e., motion estimation, motion compression, motion compensation and residual compression) in the feature space.
Journal ArticleDOI

Convolutional Neural Network-Based Block Up-Sampling for Intra Frame Coding

TL;DR: A new CNN structure for up-sampling is explored, which features deconvolution of feature maps, multi-scale fusion, and residue learning, making the network both compact and efficient.
Proceedings ArticleDOI

Deep Feature Compression for Collaborative Object Detection

TL;DR: In this article, the authors focus on collaborative object detection and study the impact of both near-lossless and lossy compression of feature data on its accuracy, and propose a strategy for improving the accuracy under lossy feature compression.
Journal ArticleDOI

Learning for Video Compression

TL;DR: The proposed PixelMotionCNN (PMCNN) which includes motion extension and hybrid prediction networks can model spatiotemporal coherence to effectively perform predictive coding inside the learning network and provides a possible new direction to further improve compression efficiency and functionalities of future video coding.
Proceedings Article

Fast HEVC intra prediction mode decision based on EDGE direction information

TL;DR: A fast intra prediction mode decision algorithm, which instead of taking into account only the modes of the neighbor PUs (prediction units) uses edge information of the current PU to choose a reduced set of directions from which the best prediction mode (direction) is finally selected.
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