Application of 3D-wavelet statistics to video analysis

Omidyeganeh, Mona; Ghaemmaghami, Shahrokh; Shirmohammadi, Shervin

doi:10.1007/s11042-012-1012-5

Cited by 9 publications

(1 citation statement)

References 51 publications

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“…Owing to the intrinsic localization and multiresolution features of the discrete wavelet transform (DWT), video codecs based on motion-compensated three-dimensional (3-D) DWT have been studied extensively for use in SVC [ 5 , 6 , 7 , 8 ]. 3-D wavelet-based SVC provides a natural way in producing embedded bitstreams with full scalability and fine granularity for in-network adaptation [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding

Chen

Liu

2018

Entropy

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Rate-distortion optimization (RDO) plays an essential role in substantially enhancing the coding efficiency. Currently, rate-distortion optimized mode decision is widely used in scalable video coding (SVC). Among all the possible coding modes, it aims to select the one which has the best trade-off between bitrate and compression distortion. Specifically, this tradeoff is tuned through the choice of the Lagrange multiplier. Despite the prevalence of conventional method for Lagrange multiplier selection in hybrid video coding, the underlying formulation is not applicable to 3-D wavelet-based SVC where the explicit values of the quantization step are not available, with on consideration of the content features of input signal. In this paper, an efficient content adaptive Lagrange multiplier selection algorithm is proposed in the context of RDO for 3-D wavelet-based SVC targeting quality scalability. Our contributions are two-fold. First, we introduce a novel weighting method, which takes account of the mutual information, gradient per pixel, and texture homogeneity to measure the temporal subband characteristics after applying the motion-compensated temporal filtering (MCTF) technique. Second, based on the proposed subband weighting factor model, we derive the optimal Lagrange multiplier. Experimental results demonstrate that the proposed algorithm enables more satisfactory video quality with negligible additional computational complexity.

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Section: Introductionmentioning

confidence: 99%

Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding

Chen

Liu

2018

Entropy

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Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods

2016

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In this paper we will experimentally prove that after recalculating the motion capture (MoCap) data to position-invariant representation it can be directly used by classifier to successfully recognize various actions types. The assumption on classifier is that it is capable to deal with objects that are described by hundreds of numeric values. The second novelty of this paper is application of neural network trained with the parallel stochastic gradient descent, Random Forests and Support Vector Machine with Gaussian radial basis kernel to perform classification task on gym exercises and karate techniques MoCap datasets. We have tested our approach on two datasets using k-fold cross-validation method. Depending of the dataset we have obtained averaged recognition rate from 100 to 97 %. Our results presented in this work give very important hints for developing similar actions recognition systems because proposed features selection and classification setup seems to guarantee high efficiency and effectiveness.

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An upscaling approach using adaptive multi-resolution upgridding and automated relative permeability adjustment

2017

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Application of 3D-wavelet statistics to video analysis

Cited by 9 publications

References 51 publications

Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding

Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video Coding

Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods

An upscaling approach using adaptive multi-resolution upgridding and automated relative permeability adjustment

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