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Novel Rate-Quantization Model-Based Rate Control With Adaptive Initialization for Spatial Scalable Video Coding
2012
IEEE transactions on industrial electronics (1982. Print)
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Index Terms-Initial quantization parameter, rate control, rate-quantization (R-Q) model, scalable video coding (SVC), spatial scalability. ...
First, by analyzing the relationship among the best initial quantization parameter (Q p ), channel bandwidth, and the initial frames' complexity measure, an adaptive Q p -initialization model is introduced ...
Therefore, it is necessary to explore the impact of initial complexity on determining the initial Q p value. ...
doi:10.1109/tie.2011.2157282
fatcat:ebid3ilyenaffn74u2az766sym
Optimal Bit Allocation Strategy Based On Spatial Complexity And Temporal Correlation
2005
Zenodo
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The purpose of measuring the spatial complexity of the intra frame is to estimate coding bits for the intra frame with the given quantization parameter. ...
Since H.264/AVC determine the QP value before transform coding, we cannot measure the spatial complexity of the intra QP. ...
doi:10.5281/zenodo.38937
fatcat:o4zqsli44fgovohlqq4neyozgi
Rate-Distortion Optimization of Rate Control for H.264 With Adaptive Initial Quantization Parameter Determination
2008
IEEE transactions on circuits and systems for video technology (Print)
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Index Terms-H.264, initial quantization parameter, rate control, rate-distortion optimization. ...
First, a linear distortion-quantization (D-Q) model is introduced and thus a close-form solution is developed to derive optimal quantization parameters ( ) for encoding each macroblock. ...
Secondly, for determining the initial we utilize an entropy information and an INTRA16 dc mode [15] based complexity measure of the first encoded frame. ...
doi:10.1109/tcsvt.2007.913757
fatcat:pitmw6yo4zc2na7lxxlkpk6hba
Bit allocation for spatial scalability in H.264/SVC
2008
2008 IEEE 10th Workshop on Multimedia Signal Processing
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Finally, a low complexity spatial layer bit allocation scheme is developed using the proposed GOP-based R-D models. ...
We propose a model-based spatial layer bit allocation algorithm for H.264/SVC in this work. ...
Finally, we can determine the encoder input parameters, QP 1 and QP 2 , using the one-to-one correspondence between quantization step size Q and quantization parameter QP .
V. ...
doi:10.1109/mmsp.2008.4665089
dblp:conf/mmsp/LiuCGK08
fatcat:srvv3aglnze2zklld3gbjzpqk4
Single Pass Dependent Bit Allocation For Spatial Scalability Coding Of H.264/Svc
2014
Zenodo
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It is obvious from (1) that the rate and distortion of the BL is primarily determined by its own quantization step-size . ...
Once the BL and EL R-D models are selected, the objective is to obtain the optimal quantization step-size for each spatial layer that minimizes the total distortion under a given bitrate constraint. ...
doi:10.5281/zenodo.43832
fatcat:xdgojtj33zffxnzfz5vb72hi4i
Adaptive Spatial and Transform Domain FGS Coding
2007
Multimedia and Expo, 2007 IEEE International Conference on
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Transform operation is only needed when there are non-zero reconstructed coefficients in spatially co-located block in base layer. ...
In this paper, an adaptive prediction error coding method in spatial and frequency domain with lower complexity is considered for FGS layer coding. ...
parameters are determined by formulas (8) and (9). ...
doi:10.1109/icme.2007.4284903
dblp:conf/icmcs/ZhangJGZ07
fatcat:dhm4zg3mtzdavaq4rhxw6jve3e
Bit Allocation for Spatial Scalability Coding of H.264/SVC With Dependent Rate-Distortion Analysis
2010
IEEE transactions on circuits and systems for video technology (Print)
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Finally, we compare the performance of group of pictures-based and frame-based spatial layer bit allocation schemes at a fixed temporal resolution. ...
To solve it, we first focus on the case of two spatial layers, derive the distortion and rate models of the dependent layer analytically, and develop a low-complexity bit allocation algorithm. ...
We can determine quantization parameters, QP 1 and QP 2 , using the one-to-one correspondence between quantization step-size Q and quantization parameter QP [15] . ...
doi:10.1109/tcsvt.2010.2045924
fatcat:2eehvp4jovaudp2h6mezrphfum
Rate-Distortion Modeling for Efficient H.264/AVC Encoding
2007
IEEE transactions on circuits and systems for video technology (Print)
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Furthermore, with quantization-based thresholding to determine the number, the absolute sum, and the squared sum of transform coefficients, the simplified transform-domain R-D measurement is introduced ...
Modeling the rate and distortion functions accurately in acceptable complexity helps to make the optimization more practical. ...
With the spatial-domain R-D functions, improved rate control can be achieved in the determination of the quantization parameter. ...
doi:10.1109/tcsvt.2007.894041
fatcat:yvkbels62fesxerzihmvrtmqiy
FEATURE VECTOR CONSTRUCTION METHOD FOR IRIS RECOGNITION
2017
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The approach consists of two steps: iris feature extraction using Gabor filtering with optimal parameters and quantization with separated preliminary optimized fragility thresholds. ...
There are two characteristics which determine the vector element utility: fragility and discriminability. ...
In this particular work the methods based on complex Gabor filtering are taken as a basis. ...
doi:10.5194/isprs-archives-xlii-2-w4-233-2017
fatcat:vkqk6myaj5fgbgpmm7b7sxwdha
Optimal Adaptive Quantization based on Temporal Distortion Propagation model for HEVC
2019
IEEE Transactions on Image Processing
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of optimal block quantizers search. ...
Optimal adaptive quantization is one of the key points to optimize the coding efficiency of video encoders. ...
Given that, BQTerrace is highly uniform in terms of temporal complexity but not in terms of spatial complexity, it explains why more quality is affected to spatially complex areas, such as the terrace ...
doi:10.1109/tip.2019.2919180
fatcat:kgkki6lnezazvmvjxjgfj624eq
Optimization of DMD-based independent amplitude and phase modulation: a spatial resolution and quantization
[article]
2020
arXiv
pre-print
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The dependence of the best DMD-pattern generation parameters on the type of target complex wavefront is discussed in terms of spatial resolution and quantization degree. ...
The increase of carrier frequency results in higher spatial resolution of the modulated complex wave but decreases its quantization. ...
The variation of these two parameters enables the optimization of the quality of complex wave modulation and the achievement of either high spatial resolution or high image quantization. ...
arXiv:2010.00955v1
fatcat:s6a3gkighngwhh74vnsrrgmrcq
Rate Control in Video Coding
[chapter]
2011
Recent Advances on Video Coding
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The core of TM5 rate control algorithm is, under the situation that buffer is not overflow or overflow, distributing bits and determining the reference value of quantitative parameter by estimating the ...
rule by Lagrange optimization. ...
Adaptive quantization This step tries to refine the quantization parameter calculated in Step 2 based on the complexity of the macroblock. ...
doi:10.5772/14585
fatcat:u5k3zyytrjhkxdjflajwakze2y
MINMAX rate control with a perceived distortion metric
2004
Visual Communications and Image Processing 2004
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Lagrangian optimization is employed within each frame to assign macroblock-level quantization step-sizes that minimize this frame-level distortion. ...
This paper presents a Rate-Distortion based optimization procedure for video coding that explicitly incorporates a perceptual distortion measure. ...
Starting with an initial MPEG-2 TM5 allocation, the optimization procedure is used to determine a macroblock-level quantizer step-size allocation that minimizes the maximum (MINMAX) distortion across all ...
doi:10.1117/12.527254
dblp:conf/vcip/SermadeviMH04
fatcat:mrov3gm3ovdw7cfdjr7ffh4cwu
MPEG-4 rate control for multiple video objects
1999
IEEE transactions on circuits and systems for video technology (Print)
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Based on the new individual targets and rate-quantizer relation for texture, appropriate quantization parameters are calculated. ...
In the preencoding stage, an initial target estimate is made for each object. ...
Quantization Level Calculation: The object-based QP's are determined in the same manner as before. ...
doi:10.1109/76.744285
fatcat:h5xhzhfuz5fltc3sf3tmiwnqny
Joint temporal-spatial bit allocation for video coding with dependency
2005
IEEE transactions on circuits and systems for video technology (Print)
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Frames to be skipped in the coding process and quantization parameters (QPs) exploited in coded frames are adaptively and jointly determined to reach a proper tradeoff between temporal and spatial qualities ...
Index Terms-Bit-rate budget, frame skipping (FS), quantization parameters (QPs), temporal-spatial bit allocation, rate-distortion (R-D). ...
Traditional still image compression methods based on DCT and quantization are adopted to reduce spatial redundancy within each frame. ...
doi:10.1109/tcsvt.2004.839996
fatcat:5gkammnec5gv7isy6ich7gndtm
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