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A Very Low Bit-Rate Minimalist Video Encoder Based on Matching Pursuits
[chapter]
2010
Lecture Notes in Computer Science
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This work proposes and implements a simple and efficient video encoder based on the compression of consecutive frame differences using sparse decomposition through matching pursuits. ...
Average PSNR and image quality consistency are compared to H.263 using a set of video sequences. ...
Acknowledgments The authors are grateful to FAPESP and CNPq for their financial support. ...
doi:10.1007/978-3-642-16687-7_27
fatcat:jor4ueqeqbey7i7xob6ouqxoiq
Sparsity-based compressive reservoir characterization and modeling by applying ILS-DLA sparse approximation with LARS on DisPat-generated MPS models using seismic, well log, and reservoir data
2016
Nonlinear Processes in Geophysics Discussions
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Among available MPS methods, the DisPat algorithm is a distance-based MPS method which generate appealing realizations for stationary and nonstationary training images by classifying the patterns based ...
Realistic modeling of the earth interior demands for more sophisticated geostatistical methods based on true available images, i.e. the training images. ...
NISOC) for donating data, references, and giving hints to this work. ...
doi:10.5194/npg-2016-46
fatcat:ljqplnb6zjgull4sc4roruyccu
Analysis of multimodal signals using redundant representations
2005
IEEE International Conference on Image Processing 2005
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The results we obtain by making use of sparse decompositions of audio-visual signals over redundant codebooks are encouraging and show the potentialities of the proposed approach to multimodal signal representation ...
In this work we explore the potentialities of a framework for the representation of audio-visual signals using decompositions on overcomplete dictionaries. ...
This is based on the sparse decomposition of signals over atoms dictionaries using Matching Pursuits [6] (MP). ...
doi:10.1109/icip.2005.1530349
dblp:conf/icip/MonaciEV05
fatcat:dkcz24gv3zbtzhylxrfhlt4cgm
An artificial bee colony optimization based matching pursuit approach for ultrasonic echo estimation
2018
Ultrasonics
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In this paper, an artificial bee colony optimization based matching pursuit approach (ABC-MP) is proposed specifically for ultrasonic signal decomposition by integrating the artificial bee colony algorithm ...
The optimal atoms are searched from a continuous parameter space over a tailored Gabor dictionary in ABC-MP instead of a discrete parameter space in matching pursuit. ...
ABC optimization based MP In this Section, the numerical implementation of the proposed ABC-MP approach is described in detail. ...
doi:10.1016/j.ultras.2018.03.002
pmid:29525226
fatcat:xm4o6xl6avevpaga3ht2qjnimy
The Iteration-Tuned Dictionary for sparse representations
2010
2010 IEEE International Workshop on Multimedia Signal Processing
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We introduce a new dictionary structure for sparse representations better adapted to pursuit algorithms used in practical scenarios. ...
In this work we first adapt pursuit decompositions to the case of ITD structures and then introduce a training algorithm used to construct ITDs. ...
Elad et al. use sparse decompositions to achieve state-of-the art image and video denoising [2] , [3] . ...
doi:10.1109/mmsp.2010.5662000
dblp:conf/mmsp/ZepedaGK10
fatcat:kauq767qpvh3lhztqeiwzcjc6m
ECG Signal Denoising Based on Improved MP Algorithm
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
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Sparse decomposition provides a new tool for ECG signal processing. ...
This paper proposed an improved MP algorithm based on GA to denoise the ECG signal, whose dictionary is composed of Gabor atoms. ...
The paper proposed GA parameter optimal approach to find a best atom from the Gabor dictionary in the process of MP decomposition. ...
doi:10.14257/ijsip.2015.8.11.30
fatcat:d3gudcyqqfc7djdzwxdwjjypoa
Anomaly detection system based on sparse signal representation
2011
Image Processing & Communications
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In our previous work we proposed new signal based algorithm for intrusion detection systems based on anomaly detection approach on the basis of the Matching Pursuit algorithm. ...
This time we present completely different approach to generating base functions (atoms) dictionary. ...
Most current IDS/IPS systems have problems in recognizing new attacks (0-day exploits) since they are based on the signature-based approach. ...
doi:10.2478/v10248-012-0010-6
fatcat:rkutpln33zctjlhnsboon7rfkq
Atomic decomposition dedicated to AVC and spatial SVC prediction
2008
2008 15th IEEE International Conference on Image Processing
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The reconstruction of signal in the block to predict is based on basis functions selected with the Matching Pursuit (MP) iterative algorithm, to best match a causal neighborhood. ...
In this work, we propose the use of sparse signal representation techniques to solve the problem of closed-loop spatial image prediction. ...
Results for the SVC spatial approach These results present a spatial inter-layer MP based prediction, see 4.3. ...
doi:10.1109/icip.2008.4712299
dblp:conf/icip/MartinFGT08
fatcat:iqe26bmqmfaxnceg2hfmkz2eq4
A sparse reconstruction based algorithm for image and video classification
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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We argue that learning class-specific dictionaries, one per class, is a natural approach to discrimination. ...
The success of sparse reconstruction based classification algorithms largely depends on the choice of overcomplete bases (dictionary). ...
INTRODUCTION Sparse decomposition of signals has emerged as a popular research front in recent years. ...
doi:10.1109/icassp.2012.6288695
dblp:conf/icassp/GuhaW12
fatcat:j2nohhshefh43hkgbioyxyti6m
MPCA: EM-based PCA for mixed-size image datasets
2014
2014 IEEE International Conference on Image Processing (ICIP)
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A natural approach to addressing this problem is to first coerce all input data to a fixed size, and then use standard PCA techniques. ...
We demonstrate the effectiveness of this approach on simulated and real-world datasets. ...
The key contribution is extending an existing EM-based approach with nonlinear optimization to handle a variety of image formation models. ...
doi:10.1109/icip.2014.7025362
dblp:conf/icip/ShiZDJ14
fatcat:qddiis32zjdepkgmqvclhlf2qa
PolSAR image speckle reduction based on sparse representation and structure characteristics
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Second, sparse decomposition and reconstruction is performed on PolSAR image by OMP and K-SVD methods to filter speckle. ...
This paper presents a novel speckle reduction algorithm based on sparse representation and structure characteristics of PolSAR image. ...
IMAGE DENOISING BASED ON SPARSE DECOMPOSITION
Image Sparse Decomposition and Reconstruction Suppose f is a noisy image, with size 12 MM . ...
doi:10.1109/icassp.2014.6855188
dblp:conf/icassp/HanYLL14
fatcat:5eus7scqvbbprm5xm7w2dx6ca4
An MP sparse decomposition algorithm with 2-step search method based on partitioning the over-complete dictionary
2011
2011 International Conference on Electronics, Communications and Control (ICECC)
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This subject is most interesting and useful for the researchers who want to invent the inherent properties of the signal under decomposition and to construct a new version of it. ...
This decomposition of signal using DBM can be achieved in different methods based on different parameters. ...
MP, the atom selection is based on the inner product between the time-frequency atoms but a new correlation CONCLUSION function [10] maximizes the signal energy, based on that the algorithm can select ...
doi:10.1109/icecc.2011.6066516
fatcat:vpcs6yx6zvggjdpyjodx2xwjwu
Approximation with highly redundant dictionaries
2003
Wavelets: Applications in Signal and Image Processing X
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We discuss sufficient conditions on a decomposition to be the unique and simultaneous sparsest expansion for all , . ...
In this paper, we try to give an overview of a series of recent results in the field of sparse decompositions and nonlinear approximation with redundant dictionaries. ...
Donoho for suggesting -at a meeting of the Wavelet IDR Center in Florham Park in fall 1999-to look for optimality results for Basis Pursuit with more than two orthonormal bases. ...
doi:10.1117/12.504776
fatcat:twwaavh7j5fzlkojnuai6h7rqq
High Range Resolution Profile Automatic Target Recognition Using Sparse Representation
2010
Chinese Journal of Aeronautics
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Sparse representation is a new signal analysis method which is receiving increasing attention in recent years. ...
The sparse representation theory is applied to analyzing the components of high range resolution profiles and sparse coefficients are used to describe their features. ...
LASSO is also a method dealing with sparse problem based on Eq.(4). ...
doi:10.1016/s1000-9361(09)60254-5
fatcat:ryjnr54hpngtjmelw26sful3qe
Geometric Video Approximation Using Weighted Matching Pursuit
2009
IEEE Transactions on Image Processing
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Experimental coding results on highly geometric content reflect how the proposed paradigm exploits spatio-temporal video geometry. 2D Weighted-MP improves the representation compared to those based on ...
This work explores the use of Weighted-MP as a new framework for motion-adaptive geometric video approximations. ...
Also, many thanks to the reviewers and the editor for their precious feedback that contributed to improve the quality of the paper. ...
doi:10.1109/tip.2009.2021315
pmid:19389695
fatcat:grcmlixxhbhl5h4hoyww2adsrm
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