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IEEE Signal Processing Letters EDICS

2013 IEEE Signal Processing Letters  
SAS-STAT Detection, estimation and classification theory and methods, statistical signal processing SAS-SYST System identification and modeling, nonlinear systems SAS-ICAB Independent Component Analysis  ...  and blind source separation SAS-ADAP Adaptive systems and adaptive filtering SAS-MALN Machine learning and neural networks MLSAS-SPARSE Theory of sparse representations and compressed-sensing MLSAS-BAYES  ...  Signal & Image & Video Biometric Analysis Image/video storage and retrieval Pattern recognition from/for Image and Video, or Image and Video Pattern Recognition Sparse representation in Imaging IMD-ARS-SRE  ... 
doi:10.1109/lsp.2013.2277505 fatcat:sjbtrxc26nfc3mdrfg4qp4j2km

IEEE Signal Processing Letters EDICS

2013 IEEE Signal Processing Letters  
Audio processing via sparse representations IMD: Image and multidimensional signal processing IMD-MDSP Multidimensional signal processing IMD-CODE Image/video coding and transmission IMD-ANAL  ...  in Imaging IMD-ARS-BIM Signal & Image & Video Biometric Analysis IMD-ARS-SRE Image & Video Storage and Retrieval IMD-ARS-SRV Image & Video Synthesis, Rendering, and Visualization IMD-ARS-FOR Image & Video  ... 
doi:10.1109/lsp.2013.2246713 fatcat:aou2y3mzy5cp5nxeywljymeuse

Learning Sparse Generative Models Of Audiovisual Signals

Gianluca Monaci, Friedrich Sommer, Pierre Vandergheynst
2008 Zenodo  
Publication in the conference proceedings of EUSIPCO, Lausanne, Switzerland, 2008  ...  Olshausen, “Sparse codes and spikes,” in Probabilistic sual signals as sparse sums of coupled audiovisual functions that Models of the Brain: Perception and Neural Function  ...  An audiovisual signal is modeled as a sparse sum of audiovisual kernels.  ... 
doi:10.5281/zenodo.41060 fatcat:ey444s5bprgobgyrali5p3qehq

SPL EDICS

2017 IEEE Signal Processing Letters  
SAS-STAT Detection, estimation and classifi cation theory and methods, statistical signal processing SAS-SYST System identifi cation and modeling, nonlinear systems SAS-ICAB Independent component analysis  ...  and blind source separation SAS-ADAP Adaptive systems and adaptive fi ltering SAS-MALN Machine learning and neural networks SAS-TENS Tensor signal processing SAS-OPTIM Optimization MLSAS-SPARSE Theory  ...  retrieval and music language processing EDU: Signal Processing in Education EDU-EDUC Signal processing education AUD-AMHA Auditory modeling and hearing aids AUD-AMCT Audio and speech modeling, coding  ... 
doi:10.1109/lsp.2017.2774431 fatcat:5vyhgwgycbb5fcjwzx7m6n27ae

Sparse representations of dynamic scenes for compressive spectral video sensing

Claudia Victoria Correa Pugliese, Diana Fernanda Galvis Carreño, Henry Arguello Fuentes
2016 Dyna  
The use of the CASSI system in compressive spectral video sensing then is proposed.  ...  This paper first presents a sparsity analysis for spectral video signals, to obtain accurate approximations and better comply compressed sensing theory.  ...  apertures for compressive spectral imaging", VIE code 1368.  ... 
doi:10.15446/dyna.v83n195.47873 fatcat:fty4tgnmazhczjlcxfwycq7cmy

Deep learning human actions from video via sparse filtering and locally competitive algorithms

William Edward Hahn, Stephanie Lewkowitz, Daniel C. Lacombe, Elan Barenholtz
2015 Multimedia tools and applications  
Recent computational advances have suggested that these neural response characteristics may reflect a 'sparse coding' architecture-in which a small number of neurons need to be active for any given image-yielding  ...  Here we present a novel neural network architecture combining a sparse filter model and locally competitive algorithms (LCAs), and demonstrate the network's ability to classify human actions from video  ...  Experiment Data To demonstrate the utility of the model, we trained sparse filtering dictionaries on videos of humans in action and then classified unseen videos using LCA.  ... 
doi:10.1007/s11042-015-2808-x fatcat:kxbknoh4eba4fics7g2327r7la

Cross-scale predictive dictionaries for image and video restoration

Vishwanath Saragadam, Aswin C. Sankaranarayanan, Xin Li
2016 2016 IEEE International Conference on Image Processing (ICIP)  
We propose a novel signal model, based on sparse representations, that captures cross-scale features for visual signals.  ...  We demonstrate speedups in the order of 10 − 20× for denoising and up to 9× speed-ups for compressive sensing of images and videos.  ...  Proposed cross-scale predictive sparse model. We propose a signal model that predicts the support of a signal across scales (see Figure 2 ).  ... 
doi:10.1109/icip.2016.7532449 dblp:conf/icip/SaragadamSL16 fatcat:fdrqc7badjf25mjuypcxnvsydy

Streaming Compressive Sensing for high-speed periodic videos

M. Salman Asif, Dikpal Reddy, Petros T. Boufounos, Ashok Veeraraghavan
2010 2010 IEEE International Conference on Image Processing  
The high-speed video can be reconstructed from the low-speed coded frames using a sparse recovery algorithm.  ...  The ability of Compressive Sensing (CS) to recover sparse signals from limited measurements has been recently exploited in computational imaging to acquire high-speed periodic and nearperiodic videos using  ...  SIGNAL AND SYSTEM MODEL Signal model In contrast to standard finite-length CS signal models, streaming videos do not have a pre-determined length.  ... 
doi:10.1109/icip.2010.5652725 dblp:conf/icip/AsifRBV10 fatcat:ge25xo3grnch3njadba23l4g4a

SPL EDICS

2018 IEEE Signal Processing Letters  
/video coding and transmission IMD-ANAL Image/video analysis, restoration and processing IMD-STOR Image/video storage and retrieval IMD-PATT Pattern recognition IMD-SPAR Sparse representation in  ...  COM-ESTI Communication signal transmission, reception and detection algorithms; channel estimation and modeling COM-CODE Signal representation, coding, compression, including joint source- channel  ... 
doi:10.1109/lsp.2018.2881801 fatcat:wisgrkixzvafxprstao5ve3jty

SPL EDICS

2018 IEEE Signal Processing Letters  
/video coding and transmission IMD-ANAL Image/video analysis, restoration and processing IMD-STOR Image/video storage and retrieval IMD-PATT Pattern recognition IMD-SPAR Sparse representation in  ...  COM-ESTI Communication signal transmission, reception and detection algorithms; channel estimation and modeling COM-CODE Signal representation, coding, compression, including joint source- channel  ... 
doi:10.1109/lsp.2018.2865651 fatcat:5o7o6m6u2fccnbdodp3ebwmayu

SPL EDICS

2018 IEEE Signal Processing Letters  
/video coding and transmission IMD-ANAL Image/video analysis, restoration and processing IMD-STOR Image/video storage and retrieval IMD-PATT Pattern recognition IMD-SPAR Sparse representation in  ...  COM-ESTI Communication signal transmission, reception and detection algorithms; channel estimation and modeling COM-CODE Signal representation, coding, compression, including joint source- channel  ... 
doi:10.1109/lsp.2018.2865871 fatcat:peknq746pzf57pm6je6ra6mqxu

SPL EDICS

2018 IEEE Signal Processing Letters  
/video coding and transmission IMD-ANAL Image/video analysis, restoration and processing IMD-STOR Image/video storage and retrieval IMD-PATT Pattern recognition IMD-SPAR Sparse representation in  ...  COM-ESTI Communication signal transmission, reception and detection algorithms; channel estimation and modeling COM-CODE Signal representation, coding, compression, including joint source- channel  ... 
doi:10.1109/lsp.2018.2880599 fatcat:s4e2ues5y5grvnjv43z2xvucpm

Distributed compressed video sensing

Thong T. Do, Yi Chen, Dzung T. Nguyen, Nam Nguyen, Lu Gan, Trac D. Tran
2009 2009 16th IEEE International Conference on Image Processing (ICIP)  
Index Termsdistributed video coding, Wyner-Ziv coding, compressed sensing, compressive sensing, sparse recovery with decoder side information, structurally random matrices.  ...  However, it recovers video frames jointly at the decoder by exploiting an interframe sparsity model and by performing sparse recovery with side information.  ...  Kalman-Filtered Compressed Sensing (KF-CS) is proposed in [7] for reconstructing a time sequence of spatially sparse signals (e.g. video frames).  ... 
doi:10.1109/icip.2009.5414631 dblp:conf/icip/DoCNNGT09 fatcat:sspdrzv66jgvnbr6z45lczmoxa

Distributed Compressed Video Sensing

Thong T. Do, Yi Chen, Dzung T. Nguyen, Nam Nguyen, Lu Gan, Trac D. Tran
2009 2009 43rd Annual Conference on Information Sciences and Systems  
Index Termsdistributed video coding, Wyner-Ziv coding, compressed sensing, compressive sensing, sparse recovery with decoder side information, structurally random matrices.  ...  However, it recovers video frames jointly at the decoder by exploiting an interframe sparsity model and by performing sparse recovery with side information.  ...  Kalman-Filtered Compressed Sensing (KF-CS) is proposed in [7] for reconstructing a time sequence of spatially sparse signals (e.g. video frames).  ... 
doi:10.1109/ciss.2009.5054678 dblp:conf/ciss/DoCNNGT09 fatcat:keroyuxwwjdwxb3ekyw2p5gbxe

Sparse/DCT (S/DCT) Two-Layered Representation of Prediction Residuals for Video Coding

Je-Won Kang, M. Gabbouj, C-C J. Kuo
2013 IEEE Transactions on Image Processing  
Index Terms-ρ domain rate model, discrete cosine transform (DCT), high efficiency video coding (HEVC), multilayered coding, overcomplete dictionary based video coding, residual coding, sparse representation  ...  First, a dictionary is adaptively trained to contain featured patterns of residual signals so that a high portion of energy in a structured residual can be efficiently coded via sparse coding.  ...  The sparse representation of a motion compensated residual signal was studied in the dictionary based video coding [19] , [22] .  ... 
doi:10.1109/tip.2013.2256917 pmid:23568505 fatcat:pjadjddebbhyzjczhepo22de3a
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