{"title":"Lossless, low-complexity, compression of three-dimensional volumetric medical images via linear prediction","authors":"Raffaele Pizzolante, B. Carpentieri","doi":"10.1109/ICDSP.2013.6622763","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622763","url":null,"abstract":"3-D volumetric medical images, as for example magnetic resonance (MR) and computed tomography (CT) images, are an important source of digital data that need lossless compression to be stored or transmitted. In this paper we propose a low complexity, lossless, compression algorithm for the compression of 3-D volumetric medical images that exploits the three-dimensional nature of the data by using 3-D linear prediction. Experimental results are reported that are comparable, and in average outperform, the state-of-art results. Moreover the algorithm we present, for its low complexity, in terms of both CPU usage and memory, is suitable to be easily used also in situations in which computing power might be an issue.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"53 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":"126853491","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":"Scalable user-adaptive multiview video coder","authors":"V. Velisavljevic, Jacob Chakareski, V. Stanković","doi":"10.1109/ICDSP.2013.6622800","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622800","url":null,"abstract":"We derive an optimization framework for joint view and rate scalable coding of multi-view video content represented in the texture plus depth format. The optimization enables the sender to select the subset of coded views and their encoding rates such that the aggregate distortion over a continuum of synthesized views is minimized. We construct the view-rate scalable bitstream such that it delivers optimal performance simultaneously over a discrete set of transmission rates. In conjunction, we develop a user interaction model that characterizes the view selection actions of the client as a Markov chain over a discrete state-space. Our scheme outperforms the state-of-the-art H.264 SVC codec as well as a multi-view wavelet-based coder equipped with a uniform rate allocation strategy, across all scenarios studied. Finally, we observed that the interactivity-aware coding delivers superior performance over conventional allocation techniques that do not anticipate the client's view selection actions in their operation.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"28 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":"114285050","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}
Lulu Wang, Hongqiang Wang, Yongqiang Cheng, Y. Qin, P. Brennan
{"title":"Adaptive waveform design for maximizing resolvability of targets","authors":"Lulu Wang, Hongqiang Wang, Yongqiang Cheng, Y. Qin, P. Brennan","doi":"10.1109/ICDSP.2013.6622677","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622677","url":null,"abstract":"In the field of target detection and tracking, the resolvability of multiple closely located targets is a significant criterion for measuring the sensing ability of radar and other sensing systems. This paper considers the problem of adaptive radar waveform design to maximize the practical resolvability of closely located targets. Conventional ambiguity function (AF)-based radar resolution considers only the waveform, regardless of the influence of noise. However, noise grreatly influences the achievable resolution as well as radar detection and tracking performance. As a result of this deficiency in conventional radar resolution, Kullback-Leibler Divergence (KLD) is introduced in this paper in order to quantify the “distance” between two probability density functions (PDFs) of radar measurements, and thus to represent practical radar resolution, which includes not only the effect of the waveform but also the signal-to-noise ratio (SNR) and measurement model. Consequently, a new adaptive radar waveform design criterion is proposed, which aims to maximize the practical radar resolution. Simulation results show the effectiveness of the proposed adaptive waveform design method.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"60 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":"114510302","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 integrated system for digital restoration of prehistoric Theran wall paintings","authors":"Nikolaos Karianakis, P. Maragos","doi":"10.1109/ICDSP.2013.6622838","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622838","url":null,"abstract":"We present a computer vision system for robust restoration of prehistoric Theran wall paintings, replacing or just supporting the work of a specialist. In the case of significant information loss on some areas of murals, the local inpainting methods are not sufficient for satisfactory restoration. Our strategy is to detect an area of relevant semantics, geometry and color in another location of the wall paintings, which in turn is stitched into the missing area by applying a seamless image stitching algorithm. An important part of our digital restoration system is the damaged and missing areas detector. It is used in combination with total variation inpainting at first for the missing area extraction and repair, and secondly for the elimination of minor defects on the retrieved part in the non-local inpainting mechanism. We propose a morphological algorithm for rough detection and we improve upon this approach by incorporating edge information. For missing areas with complicated boundaries we enhance the detection by using iterated graph cuts.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"79 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":"114884205","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}
M. Cacciola, S. Calcagno, F. Morabito, I. Palamara, D. Pellicanò, M. Versaci, G. Acciani, Antonietta Dimucci
{"title":"Fuzzy similarities for the optimization of the operational parameters related to ultrasonic phased array probes for industrial application","authors":"M. Cacciola, S. Calcagno, F. Morabito, I. Palamara, D. Pellicanò, M. Versaci, G. Acciani, Antonietta Dimucci","doi":"10.1109/ICDSP.2013.6622810","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622810","url":null,"abstract":"The systematic use of non-destructive testing is important both for on-line quality control during the production process and the maintenance of complex equipment especially in industrial applications. In such a context, the ultrasound imaging techniques cover an important role above all in those cases in which it is requested a great penetration depth. Starting from an experimental database (affected by uncertainties due to sampling and/or noise, so of clear fuzzy nature) , the authors propose a new approach aimed at the optimization of the operational parameters of ultrasonic phased array probes. the problem of optimization is translated in an equivalent problem of classification through a fuzzy similarity approach: different images produced by different probes are compared. The quality of the proposed procedure has been assessed comparing the obtained results also with SOM- type technique in which the parameters of similarity among neurons has been considered of fuzzy nature.","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":"117188298","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":"PCA summarization for audio song identification using Gaussian Mixture models","authors":"V. Panagiotou, N. Mitianoudis","doi":"10.1109/ICDSP.2013.6622803","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622803","url":null,"abstract":"In an audio fingerprinting system, the song identification task should be performed within a few seconds. To address the need for fast and robust song identification system, we design fingerprints based on Gaussian Mixture Modeling (GMM) of delta Mel-frequency cepstrum coefficients (ΔMFCC) or delta chroma features (Δchroma). In order to summarize the extracted features over time, a novel implementation of Principal Component Analysis (PCA) is introduced. Experimental evaluations performed on a database of 10000 songs confirm that the proposed PCA summarization technique provides a significant increase in speed in the system's query time. Furthermore, the fingerprints prove to be quite robust against various common distortions, while by using non-distorted test song segments of 10 seconds, the system achieves high identification rates.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"19 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":"115519460","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":"Application-aware image compression for low cost and distributed plant phenotyping","authors":"M. Minervini, S. Tsaftaris","doi":"10.1109/ICDSP.2013.6622670","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622670","url":null,"abstract":"Plant phenotyping investigates how a plant's genome, interacting with the environment, affects the observable traits of a plant (phenome). It is becoming increasingly important in our quest towards efficient and sustainable agriculture. While sequencing the genome is becoming increasingly efficient, acquiring phenotype information has remained largely of low throughput, since high throughput solutions are costly and not widespread. A distributed approach could provide a low cost solution, offering high accuracy and throughput. A sensor of low computational power acquires time-lapse images of plants and sends them to an analysis system with higher computational and storage capacity (e.g., a service running on a cloud infrastructure). However, such system requires the transmission of imaging data from sensor to receiver, which necessitates their lossy compression to reduce bandwidth requirements. In this paper, we propose an application aware image compression approach where the sensor is aware of its context (i.e., imaging plants) and takes advantage of the feedback from the receiver to focus bitrate on regions of interest (ROI). We use JPEG 2000 with ROI coding, and thus remain standard compliant, and offer a solution that is low cost and has low computational requirements. We evaluate our solution in several images of Arabidopsis thaliana phenotyping experiments, and we show that both for traditional metrics (such as PSNR) and application aware metrics, the performance of the proposed solution provides a 70% reduction of bitrate for equivalent performance.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"61 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":"122445863","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}
M. Taghizadeh, R. Parhizkar, Philip N. Garner, H. Bourlard
{"title":"Euclidean distance matrix completion for ad-hoc microphone array calibration","authors":"M. Taghizadeh, R. Parhizkar, Philip N. Garner, H. Bourlard","doi":"10.1109/ICDSP.2013.6622716","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622716","url":null,"abstract":"This paper addresses the application of missing data recovery via matrix completion for audio sensor networks. We propose a method based on Euclidean distance matrix completion for ad-hoc microphone array location calibration. This method can calibrate a full network from partial connectivity information. The pairwise distances of microphones in close proximity are estimated using the coherence model of the diffuse noise field. The distance matrix of the ad-hoc network is constructed where the distances of the microphones above a threshold are missing. We exploit the low-rank property of the squared distance matrix and apply a matrix completion method to recover the missing entries. In order to constrain the Euclidean space geometry, we propose the additional use of the Cadzow algorithm for matrix completion. The applicability of the proposed method is evaluated on real data recordings where a significant improvement over the state-of-the-art is achieved.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"96 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":"122558152","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":"Pseudo-random Aloha for inter-frame soft combining in RFID systems","authors":"P. Castiglione, F. Ricciato, P. Popovski","doi":"10.1109/ICDSP.2013.6622746","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622746","url":null,"abstract":"In this work we consider a recently proposed variant of the classical Framed Slotted-ALOHA where slot selection is based on a pseudo-random function of the message to be transmitted and of the frame index. We couple this feature with convolutional encoding, that allows to perform Inter-frame Soft Combining (ISoC) of multiple (re)transmission attempts of the same payload across different frames. The ISoC scheme, proposed here for the first time, requires less memory usage and computational complexity at the receiver digital signal processor compared to existing techniques based on inter-frame signal cancellation (instead of combining). Numerical simulation results show that the ISoC scheme brings a noticeable throughput gain over traditional schemes in a dense RFID scenario with multiple concurrent Tag transmissions.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"98 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":"124844207","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":"Performance evaluation of heart sounds biometric systems on an open dataset","authors":"Andrea Spadaccini, F. Beritelli","doi":"10.1109/ICDSP.2013.6622835","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622835","url":null,"abstract":"Recently, many systems and approaches that employ heart sounds as physiological traits for biometric recognition have been investigated. However, those systems are often tested on small, diverse and closed datasets, making it difficult to compare their performance. In this paper, we present HSCT-11, an open dataset containing data collected from 206 people that can be used for performance evaluation of heart sounds biometric systems, and we use it to benchmark two such systems. The most performing one shows an Equal Error Rate of 13.66 % on this database, a result that will be the baseline for all the future evaluations made using this dataset.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"22 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":"124871865","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}