{"title":"A general sparse image prior combination in super-resolution","authors":"S. Villena, M. Vega, R. Molina, A. Katsaggelos","doi":"10.1109/ICDSP.2013.6622841","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622841","url":null,"abstract":"In this paper the Super-Resolution (SR) image registration and reconstruction problem is studied within the Bayesian framework using a general sparse image prior combination. The representation of the proposed priors as Scale Mixtures of Gaussians (SMG), leads to the introduction of variational parameters, for which degenerate distributions are assumed. In the proposed method all the problem unknowns are automatically estimated using variational techniques. An experimental comparison between the proposed and state of the art methods has been performed, on both synthetic and real images.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114653365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic Single Branch Non-Uniform Sampler","authors":"S. Traore, Babar Aziz, Daniel Le Guennec","doi":"10.1109/ICDSP.2013.6622804","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622804","url":null,"abstract":"We consider the problem of designing an effective sampling scheme for sparse multi-band signals. Based on previous results on periodic non-uniform sampling (Multi-coset) and recent advances in Compressive Sensing (CS), we propose a new sampling scheme, the Dynamic Single Branch Non-uniform Sampler (DSB-NUS). Our scheme estimates the spectral support using non-uniform spectrum sensing technique to minimize the average sampling rate, thereby reducing the number of samples as well as energy consumption. In this paper, we show through simulation results that compared to existing multi-coset based samplers, our proposed sampler provides superior performance, both in terms of sampling rate and energy consumption. Moreover, we show that our proposed sampler is not constrained by the inflexibility of harware circuitry and is easily reconfigurable.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125900003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Simone Chiappino, Pietro Morerio, L. Marcenaro, C. Regazzoni
{"title":"Event definition for stability preservation in bio-inspired cognitive crowd monitoring","authors":"Simone Chiappino, Pietro Morerio, L. Marcenaro, C. Regazzoni","doi":"10.1109/ICDSP.2013.6622802","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622802","url":null,"abstract":"In most recent Intelligent Video Surveillance systems, mechanisms to support human decisions are integrated in cognitive artificial processes. These algorithms mainly address the problem of extraction and modelling of relevant information from a sensor network. In crowd monitoring the main problem is to individuate specific events as for example different behaviours among interacting entities. A bio-inspired structure for modelling cause-effect relationships between events was lately proposed by the authors and applied to the field of automatic crowd monitoring. Such cause-effect relationships are modelled by means of coupled Event-based Dynamic Bayesian Networks and stored within an Autobiographical Memory during a learning phase, in order to supply appropriate knowledge to the automatic system in the on-line phase. However, the definition of causality relies on the selection of relevant events, which is performed by means of Self Organizing Maps and on a temporal scale defined by a newly introduced temporal parameter. Performances of the proposed multi-camera video surveillance system are studied on tuning such causality parameters.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126792052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Papandreou, T. Antonakopoulos, U. Egger, Aspa Palli, H. Pozidis, E. Eleftheriou
{"title":"A versatile platform for characterization of solid-state memory channels","authors":"N. Papandreou, T. Antonakopoulos, U. Egger, Aspa Palli, H. Pozidis, E. Eleftheriou","doi":"10.1109/ICDSP.2013.6622745","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622745","url":null,"abstract":"This paper presents a versatile hardware platform designed for high performance characterization and testing of non-volatile memories. The platform is based on a reconfigurable hardware-software architecture with high degree of multi-domain testing and data acquisition capabilities. The platform constitutes a valuable tool for statistical characterization of the solid-state memory channel for new and emerging non-volatile memories with the goal to study the noise and interference sources that affect the reliability of these devices. We describe the architecture of the hardware testbed and demonstrate its functionality with experimental results from phase-change memory and flash memory devices.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125225047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Power allocation to a network of charging stations based on network tomography monitoring","authors":"G. Michailidis","doi":"10.1109/ICDSP.2013.6622681","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622681","url":null,"abstract":"There is a strong push to increase the electrification of the transportation sector, in order to reduce emissions and dependence on fossil fuels. However, a key component would be the deployment of a network of charging stations, so as to alleviate range-anxiety for electric vehicle drivers. On the other hand, power allocation from the grid to such a network needs to be carefully designed so as to avoid spikes that could lead to grid instability. In this paper, we examine a network of charging stations equipped with an energy storage device. We also introduce a monitoring scheme, which coupled with network tomography techniques estimates online from limited measurements vehicle traffic intensity rates and adjust power to the stations accordingly. Of note, the required communications and computational cost are minimal compared to schemes that engage the drivers of the vehicles. The proposed allocation scheme is illustrated through a simulation study, whose key parameters are calibrated from a real data set of bus movements in the Seattle area. The results indicate that the scheme is promising and offers significant gains in performance.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125229107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Galerkin projections-based ICI cancellation in OFDM systems with doubly selective channels","authors":"Evangelos Vlachos, A. Lalos, K. Berberidis","doi":"10.1109/ICDSP.2013.6622686","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622686","url":null,"abstract":"Doubly selective channels can cause severe performance degradation in orthogonal frequency division multiplexing (OFDM) systems, introducing inter-carrier interference (ICI) at the receiver. In such cases, equalization schemes which require matrix inversion are prohibitively complex for large OFDM symbol lengths. In this paper, we propose two low-complexity iterative successive interference cancellation schemes, applying Krylov subspace optimization methods.We first derive a reduce-drank preconditioned conjugate gradient (PCG) algorithm in order to estimate the equalization matrix with a reduced number of iterations. We then develop an improved PCG algorithm with the same complexity order, using the Galerkin projections theory. As verified via simulations, the proposed schemes may offer near optimal performance with reduced computational complexity.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124163993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Efficient automatic depth estimation for video","authors":"Richard Rzeszutek, D. Androutsos","doi":"10.1109/ICDSP.2013.6622807","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622807","url":null,"abstract":"Estimating depth in monoscopic images and videos is a non-trivial problem due to the inherent ambiguity that arises when a 3D scene is projected onto a 2D plane (the image). But because depth estimation is so useful, many different techniques have been developed to solve this problem. Unfortunately these methods tend to be computationally intensive or require precise knowledge about the camera that captured the scene. We present a simple and straightforward technique that can estimate relative depth in video sequences using well-established computer vision principles. We also utilize recent advancements in non-linear filtering to make the estimation process computationally efficient. The result produces depth maps comparable to ground truth depths extracted by state-of-the-art estimation methods.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131548368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Moghaddamnia, J. Peissig, G. Schmitz, A. Effenberg
{"title":"A simplified approach for autonomous quality assessment of cyclic movements","authors":"S. Moghaddamnia, J. Peissig, G. Schmitz, A. Effenberg","doi":"10.1109/ICDSP.2013.6622672","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622672","url":null,"abstract":"To monitor performance in athletic training it is of great importance to detect and extract significant movement features. We analyzed the utility of randomly modulated periodicity and sum signal-to-modulation-noise-ratio (SMNR) for the evaluation of the foot-rest force (FRF), which is a key parameter in rowing. The foot-rest force of elite and novice athletes was recorded with an indoor rower and processed off-line. The results showed that there were significant differences between the sum SMNRs of FRF recordings obtained from elite and novice athletes. Moreover the randomly modulated periodicity feature of FRF facilitates spotting the training course as well as the efficiency of the training method especially in autonomous activity detection and rehabilitation devices. The sum SMNR feature can be used not only to distinguish expert athletes from novice athletes but also to deliver a reliable measure of performance to track improvements during the training and/or after rehabilitation.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131448842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An output signal based combination of three LMS adaptive filters","authors":"T. Trump","doi":"10.1109/ICDSP.2013.6622737","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622737","url":null,"abstract":"This paper investigates a combination of three LMS adaptive algorithms. The structure consists of filters that simultaneously adapt on the same input and desired signals but have different step sizes. The outputs of the individual filters are then adaptively combined together to form a common output signal. This combination is an interesting new way of achieving a fast initial convergence and a small steady state error of an adaptive filter at the same time. We compute the combination parameters from the output signals of the individual filters. In this paper we show that the straightforward posing of the minimization problems we need to solve for the combination parameters results in a need to solve a singular system of linear equations. We therefore suggest to include a regularization term to our optimization problem. We also provide an analysis of the resulting algorithm. The theoretical results are verified by simulations.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125302663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Geert Braeckman, Shahid M. Satti, Heng Chen, S. Delputte, P. Schelkens, A. Munteanu
{"title":"Lossy-to-lossless screen content coding using an HEVC base-layer","authors":"Geert Braeckman, Shahid M. Satti, Heng Chen, S. Delputte, P. Schelkens, A. Munteanu","doi":"10.1109/ICDSP.2013.6622843","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622843","url":null,"abstract":"This paper presents a novel High Efficiency Video Coding (HEVC) based screen content coding scheme providing lossy-to-lossless compression support. The paper follows a two-layer design approach which allows for backward compatibility with the conventional HEVC standard for the base-layer and yields lossless compression when decoding the enhancement-layer. The system employs Golomb based binarization and context-based arithmetic coding to efficiently encode the enhancement-layer. Performance evaluations using 4:4:4 screen content sequences are carried out. The results show that the proposed system substantially outperforms lossless intra- HEVC and single-layer JPEG-LS.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122243296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}