Calculation of Average PSNR Differences between RD-curves

By Gisle Bjøntegaard. 2001

5,857 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/98797fe40839a2ed9bd73d647eef75dd81c46ee6

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Citations in the corpus

FVC: A New Framework towards Deep Video Compression in Feature Space (2021, result): “The coding time of our proposed frameworks FVC and FVC-basic as well as DVC and DVC* are 548ms, 201ms, 460ms and 709ms, and the corresponding BDBRs on the HEVC Class D dataset by using H.265 as the anchor method are -18.39%, -7 -7.09%, 14.08% and 4.31%.”
QARV: Quantization-Aware ResNet VAE for Lossy Image Compression (2023, methodology): “Experimental results conﬁrm that QARV outperforms existing published lossy image codecs (most of which are based on the Hyperprior with context models) in terms of BD-rate [16] while retaining competitive computational efﬁciency.”
Block Partitioning Structure in the HEVC Standard (2012, methodology): “4) Bjøntegaard delta bitrate is computed using piece-wise cubic interpolation [29], [30].”
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks (2017, methodology): “ other methods in the comparison). Finally, Table3and Figures1and9summarize the rate savings of the codecs we have introduced (or compared ourselves to), using Bjøntegaard Delta (BD) rate differences [6]. BD rate differences are the percent difference in area between two RD curves, after a logarithm”
Perceptual Video Coding Based on SSIM-Inspired Divisive Normalization (2013, methodology): “The method proposed in [57] is used to calculate the differences between two RD curves.”
End-to-End Learnt Image Compression via Non-Local Attention Optimization and Improved Context Modeling (2019, unknown): “Our NLAIC model shows 64.39% and 11.97% BD-Rate [54] reduction against JPEG (4:2:0) and BPG (YCbCr 4:4:4) HM, respectively.”
A Convolutional Neural Network Approach for Post-Processing in HEVC Intra Coding (2016, methodology): “To evaluate the coding efficiency, we use the BD-rate measure [1] on luminance and chrominance channels independently.”
Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors (2014, methodology): “The coding efficiency of all the methods is compared in terms of combined Bjøntegaard delta bitrates (BD-rate) [38], [39], which is calculated by the average PSNR”
Enhancing HEVC Compressed Videos with a Partition-Masked Convolutional Neural Network (2018, methodology): “y selected, introducing partition information is indeed useful to improve the quality of compressed videos. 4.3. Comparison with the existing methods Table2further compares the overall BD-rate saving [17] of different methods over the standard HEVC test model (HM16.0). Five methods are compared in T”
HEVC Complexity and Implementation Analysis (2012, methodology): “The Bjøntegaard Delta (BD) [19] rate values in Table V have been calculated using the four QP points of the common coding conditions.”
DeepCoder: A deep neural network based video compression (2017, methodology): “Bjontegaard Delta-Rate between two curves is calculated using [15].”
HEVC Deblocking Filter (2012, methodology): “The BD rate is used in the HEVC standardization as a measure for the average bit rate reduction at the same mean squared error [15].”
Intra Coding of the HEVC Standard (2012, methodology): “In order to assess the objective quality differences, Bjøntegaard delta bitrates are computed using piece-wise cubic interpolation [18], [19].”