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2013 18th International Conference on Digital Signal Processing (DSP)最新文献

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Introducing the separable moments for image watermarking in a Tottaly moment-oriented framework 在完全面向矩的框架下，介绍了用于图像水印的可分离矩
2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI: 10.1109/ICDSP.2013.6622813
E. Tsougenis, G. Papakostas, D. Koulouriotis
{"title":"Introducing the separable moments for image watermarking in a Tottaly moment-oriented framework","authors":"E. Tsougenis, G. Papakostas, D. Koulouriotis","doi":"10.1109/ICDSP.2013.6622813","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622813","url":null,"abstract":"The proposed method constitutes the first attempt of designing a totally moment-oriented scheme that manages to accomplish the basic watermarking operations via orthogonal moment functions. A recently introduced transformation called separable moments that combines the discrete orthogonal Tchebichef and Krawtchouk polynomials in order to produce an enhanced moment kernel is firstly applied to image watermarking field regarding to their robust performance evaluation. Besides the watermark information embedding via separable moments, the original Tchebichef and Krawtchouk moment families are further applied for geometric distortion estimation and image quality assessment, respectively. The Qk metric manages to assess locally the quality of the watermarked image based on blockwise Krawtchouk moments in contrast to the traditional Peak Signal to Noise Ratio (PSNR) that takes into account the pixel differences. The proposed moment-based image watermarking scheme stays robust under the majority of common signal processing and geometric attacking conditions. Moreover, the proposed transformation manages to overcome even the original moment families occasionally.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"26 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":"129433412","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}
引用次数: 13
A visual sensor network for object recognition: Testbed realization 一种用于物体识别的视觉传感器网络:试验台实现
2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI: 10.1109/ICDSP.2013.6622789
A. Redondi, L. Baroffio, A. Canclini, M. Cesana, M. Tagliasacchi
{"title":"A visual sensor network for object recognition: Testbed realization","authors":"A. Redondi, L. Baroffio, A. Canclini, M. Cesana, M. Tagliasacchi","doi":"10.1109/ICDSP.2013.6622789","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622789","url":null,"abstract":"This work describes the implementation of an object recognition service on top of energy and resource-constrained hardware. A complete pipeline for object recognition based on the BRISK visual features is implemented on Intel Imote2 sensor devices. The reference implementation is used to assess the performance of the object recognition pipeline in terms of processing time and recognition accuracy.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"1 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":"130079901","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}
引用次数: 21
Parallel implementations of motion estimation algorithms using OpenCL 用OpenCL并行实现运动估计算法
2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI: 10.1109/ICDSP.2013.6622694
A. Heikkinen, Lance Fono
{"title":"Parallel implementations of motion estimation algorithms using OpenCL","authors":"A. Heikkinen, Lance Fono","doi":"10.1109/ICDSP.2013.6622694","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622694","url":null,"abstract":"Parallel processors such as Graphics processing units (GPUs) have emerged as co-processing units for central processing units (CPUs) to accelerate different applications. Open Computing Language (OpenCL) is a framework for multiprocessing in heterogeneous platforms. In this paper we focus on motion estimation which is the most time consuming task in video coding. We study two motion estimation algorithms in terms of parallel execution. We implemented the full search algorithm and the hierarchical search algorithm with OpenCL and with C code. Our measurements show that the OpenCL-based implementations of the algorithms on the GPU can achieve nearly 10 times speedup compared to the corresponding C implementation on a single CPU.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"9 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":"130148304","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}
引用次数: 3
Low-complexity low-delay distributed video coding 低复杂度低延迟分布式视频编码
2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI: 10.1109/ICDSP.2013.6622739
Gengfeng Qiu, Shaoshuai Gao, G. Tu
{"title":"Low-complexity low-delay distributed video coding","authors":"Gengfeng Qiu, Shaoshuai Gao, G. Tu","doi":"10.1109/ICDSP.2013.6622739","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622739","url":null,"abstract":"Most state-of-the-art distributed video coding schemes are based on Stanford Wyner-Ziv video coding architecture which takes advantages of efficient channel codes such as LDPC or Turbo codes. The drawbacks that prevent it from practical applications are high decoding complexity and especially latency, since it needs to decode channel codes iteratively and require feedback information many times when decoding a WZ frame. In this paper, we proposed a novel distributed video coding scheme which needs no iterative decoding and only requires feedback information once per WZ frame. It uses a block classification coding strategy combined with a residual computing method based on modular arithmetic. Our scheme replaces complex channel coding with simple entropy coding, which greatly reduce decoding complexity and latency. Experimental results show that the proposed scheme can improve the rate-distortion performance over some state-of-the-art distributed video coding schemes for low and medium motion video sequences, while reducing decoding complexity to 10%~1%.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"11 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":"130529170","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}
引用次数: 6
Frequency warping compressive sensing for structural monitoring of aircraft wing 飞机机翼结构监测的频率翘曲压缩感知
2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI: 10.1109/ICDSP.2013.6622668
A. Perelli, S. Harput, L. Marchi, S. Freear
{"title":"Frequency warping compressive sensing for structural monitoring of aircraft wing","authors":"A. Perelli, S. Harput, L. Marchi, S. Freear","doi":"10.1109/ICDSP.2013.6622668","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622668","url":null,"abstract":"This work focuses on an ultrasonic guided wave structural health monitoring (SHM) system development for aircraft wing inspection. The performed work simulate small, low-cost and light-weight piezoelecric discs bonded to various parts of the aircraft wing, in a form of relatively sparse arrays, for cracks and corrosion monitoring. The piezoelectric discs take turns generating and receiving ultrasonic guided waves. The development of an in situ health monitoring system that can inspect large areas and communicate remotely to the inspector is highly computational demanding due to both the huge number of Piezoelectric sensors needed and the high sampling frequency. To address this problem, a general approach for low rate sampling is developed. Compressive Sensing (CS) has emerged as a potentially viable technique for the efficient acquisition that exploits the sparse representation of dispersive ultrasonic guided waves in the frequency warped basis. The framework is applied to lower the sampling frequency and to enhance defect localization performances of Lamb wave inspection systems. The approach is based on the inverse Warped Frequency Transform (WFT) as the sparsifying basis for the Compressive Sensing acquisition and to compensate the dispersive behaviour of Lamb waves. As a result, an automatic detection procedure to locate defect-induced reflections was demonstrated and successfully tested on simulated Lamb waves propagating in an aluminum wing specimen using PZFlex software. The proposed method is suitable for defect detection and can be easily implemened for real application to structural health monitoring.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"32 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":"132406046","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}
引用次数: 6
A game with a purpose for annotating Greek folk music in a web content management system 一个在网页内容管理系统中注释希腊民间音乐的游戏
2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI: 10.1109/ICDSP.2013.6622715
Emmanouil Giouvanakis, Constantine Kotropoulos, A. Theodoridis, I. Pitas
{"title":"A game with a purpose for annotating Greek folk music in a web content management system","authors":"Emmanouil Giouvanakis, Constantine Kotropoulos, A. Theodoridis, I. Pitas","doi":"10.1109/ICDSP.2013.6622715","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622715","url":null,"abstract":"A web content management system (Web CMS) has been developed to host a corpus of 405 folk songs for media sharing. It is based on Drupal 7. Exploring various modules, the system offers multiple functionalities, including user registration, layered information about each song in different pages, similar content search, friendship relationships between the registered users, favorite lists, etc. Users can visit song pages, listen to the songs, and provide feedback. In addition to the Web CMS, a game with a purpose (GWAP), called Erasitechnis GWAP, has been designed and deployed on Facebook as an enjoyable way encouraging users to enroll and provide music annotations. Erasitechnis GWAP is a combined approach of existing games with a purpose, which focuses on tagging Greek folk music promoting less frequent tags. By doing so, descriptive tags are collected enabling the creation of a fully annotated dataset, which is exploited to train recommendation or autotagging systems.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"23 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":"133010772","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}
引用次数: 4
Compressive sensing in footstep sounds, hand tremors and speech using K-SVD dictionaries 基于K-SVD字典的脚步声、手颤和语音压缩感知
2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI: 10.1109/ICDSP.2013.6622834
A. Koutrouvelis, Aki Härmä, A. Mouchtaris
{"title":"Compressive sensing in footstep sounds, hand tremors and speech using K-SVD dictionaries","authors":"A. Koutrouvelis, Aki Härmä, A. Mouchtaris","doi":"10.1109/ICDSP.2013.6622834","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622834","url":null,"abstract":"The application of Compressive Sensing is explored in three signal categories; footstep sounds, hand tremors and speech. An investigation of the reconstruction performance of various dictionaries is undertaken. It is demonstrated that these signal categories are reconstructed with higher SNR performance using K-SVD dictionaries than other fixed dictionaries. In particular, for footstep sounds and hand tremors, the K-SVD dictionaries outperform the fixed dictionaries; Discrete Cosine Transform (DCT), Wavelet Symlet with order 8 Transform and the union of DCT and Discrete Sine Transform. Moreover, in speech reconstruction, the use of a codebook of K-SVD dictionaries instead of a codebook of impulse response matrices improves performance.","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":"131733117","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}
引用次数: 1
Effects of domain-specific SVM kernel design on the robustness of automatic speech recognition 特定领域支持向量机核设计对自动语音识别鲁棒性的影响
2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI: 10.1109/ICDSP.2013.6622705
J. Yousafzai, Z. Cvetković, Peter Sollich
{"title":"Effects of domain-specific SVM kernel design on the robustness of automatic speech recognition","authors":"J. Yousafzai, Z. Cvetković, Peter Sollich","doi":"10.1109/ICDSP.2013.6622705","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622705","url":null,"abstract":"We consider the effects of incorporating prior knowledge of features which correlate with phoneme identity as well as perceptual invariances into the design of SVM kernels for phoneme classification in high-dimensional spaces of acoustic waveforms of speech. To this end we explore products and linear combinations of polynomial and radial basis function kernels to design composite kernels which are invariant to waveform sign and time shift, and capture the dynamics of energy evolution in the time-frequency plane. Experiments show marked improvements in phoneme classification as a result of this custom kernel design. This demonstrates that even in high-dimensional feature spaces, careful kernel design based on prior knowledge of the problem domain can have significant payback.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"1 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":"126668928","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}
引用次数: 1
Diffusion adaptive filtering for modelling brain responses to motor tasks 模拟大脑对运动任务反应的扩散自适应滤波
2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI: 10.1109/ICDSP.2013.6622799
K. Eftaxias, S. Sanei
{"title":"Diffusion adaptive filtering for modelling brain responses to motor tasks","authors":"K. Eftaxias, S. Sanei","doi":"10.1109/ICDSP.2013.6622799","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622799","url":null,"abstract":"Diffusion adaptation combined with an adaptive way of estimating brain connectivity is used here in order to model specific motor tasks. We use Kalman filtering to fit an adaptive multivariate autoregressive model to our data and compute the connectivity measure which is a time-varying version of directed transfer function (DTF). The resulting method is used to classify the data from movement-related activities. The comparison between the proposed method and the non-diffusion method shows superiority of the former one.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"139 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":"126870541","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}
引用次数: 5
Simplified acoustic localization by linear arrays for wireless sensor networks 基于线性阵列的无线传感器网络声定位简化方法
2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI: 10.1109/ICDSP.2013.6622741
S. Astapov, J. Preden, J. Berdnikova
{"title":"Simplified acoustic localization by linear arrays for wireless sensor networks","authors":"S. Astapov, J. Preden, J. Berdnikova","doi":"10.1109/ICDSP.2013.6622741","DOIUrl":"https://doi.org/10.1109/ICDSP.2013.6622741","url":null,"abstract":"The application of wireless sensor networks (WSN) for the task of acoustic localization provides great opportunities for distributed cooperative tracking of sound sources in large areas. However WSNs are significantly more limited in terms of computational resources and power than typical computer systems. Therefore the methods applied for acoustic localization in WSN must be optimized for minimal resource consumption. This paper builds on the advances of Steered Response Power with Phase Transform (SRP-PHAT) optimization and proposes a further simplification in terms of additional minimization of the initial search volume. By using several linear microphone arrays we are able to estimate the initial region of sound source and reduce the number of computations by at least one order of magnitude. The results of several experiments on real signals confirm the achieved improvements.","PeriodicalId":180360,"journal":{"name":"2013 18th International Conference on Digital Signal Processing (DSP)","volume":"34 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":"121740737","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}
引用次数: 12
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