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2007 IEEE 15th Signal Processing and Communications Applications最新文献

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Repairing of Motion Vectors within Defect Regions Based on Temporal Continuity of Motion Trajectory and Blotch Detection in Old Color Films 基于运动轨迹时间连续性和斑点检测的旧彩色胶片缺陷区域内运动向量修复
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298857
B. Dizdaroğlu, A. Gangal
{"title":"Repairing of Motion Vectors within Defect Regions Based on Temporal Continuity of Motion Trajectory and Blotch Detection in Old Color Films","authors":"B. Dizdaroğlu, A. Gangal","doi":"10.1109/SIU.2007.4298857","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298857","url":null,"abstract":"In this work, an algorithm is proposed for the automatic detection of defects such as blotches in old color films. First, non-local means method, which does not require motion estimation, is used for noise removal in image sequence. After that, motion vectors that are incorrectly estimated within defect regions are reestimated by taking into account the temporal continuity of motion trajectory. Finally, defects in films are detected by spike detection index (SDI) method, which are easily adapted to color image sequences. Performance of the method is tested on artificially corrupted and real films, and obtained results are demonstrated.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127904135","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: 0
Subpixel Image Registration Using Cell Areas 使用单元格区域的亚像素图像配准
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298699
K. Ozkan, E. Seke
{"title":"Subpixel Image Registration Using Cell Areas","authors":"K. Ozkan, E. Seke","doi":"10.1109/SIU.2007.4298699","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298699","url":null,"abstract":"Most image registration algorithms assume that the images to be registered are sourced from a single camera and captured with relatively short time in between while the camera or the scene is doing a simple and definable movement on the image plane. It is also assumed that images are generated or can be generated from a higher resolution (or continuous) image by appliying some affine operations, either linear or nonlinear. Under the same constraints and assumed relationships between image pixels and CCD cell areas, a simple subpixel registration technique for translation and rotation is proposed. We tested the new technique on artificially shifted images and real images and compared the results with the ones obtained using popular phase correlation method and concluding that our results is superior.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128518660","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: 0
Morphological Modeling of Position-Based Spatial Relationships 基于位置的空间关系形态学建模
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298765
R. G. Cinbis, S. Aksoy
{"title":"Morphological Modeling of Position-Based Spatial Relationships","authors":"R. G. Cinbis, S. Aksoy","doi":"10.1109/SIU.2007.4298765","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298765","url":null,"abstract":"Spatial information plays a very important role in image understanding. Fuzzy mathematical morphology provides an effective basis for extracting binary and ternary spatial relationships by creating a fuzzy landscape where the value at each point corresponds to the relationship degree according to its position with respect to the reference object(s). We improve existing morphological approaches in terms of flexibility and efficiency while also obtaining more intuitive results. Our morphological definitions are sensitive to relative visibility of areas based on partial occlusions, and can also cope with the cases where some objects extend significantly differently relative to others. We show the effectiveness of the proposed definitions using synthetic and real images.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116105728","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
Frame-level Complexity Control in H.264 Video Coding H.264视频编码中的帧级复杂度控制
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298619
H. Ateş, Y. Altunbasak
{"title":"Frame-level Complexity Control in H.264 Video Coding","authors":"H. Ateş, Y. Altunbasak","doi":"10.1109/SIU.2007.4298619","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298619","url":null,"abstract":"H.264 video coding standard supports several interprediction coding modes that use macroblock partitions with variable block sizes. Unfortunately, searching for optimal motion vectors of each possible partition incurs a heavy computational cost. In this paper, we propose a novel frame-level complexity control algorithm that determines for each macroblock which partitions are likely to be optimal. Motion vector search is carried out for only the selected partitions, thus reducing the complexity of the motion estimation step. The mode selection criteria is based on a measure of spatio-temporal activity within the macroblock. For each frame, the procedure guarantees that an execution time budget is met with minimum loss of coding efficiency. Simulation results show that the algorithm speeds up integerpel motion estimation by a factor of up to 40 with less than 0.2 dB loss in coding efficiency.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116120863","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
Spectral Extrapolation of Narrowband Speech 窄带语音的频谱外推
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298739
Giirhan Bulu, A. S. Bingo
{"title":"Spectral Extrapolation of Narrowband Speech","authors":"Giirhan Bulu, A. S. Bingo","doi":"10.1109/SIU.2007.4298739","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298739","url":null,"abstract":"It is known that human speech has components up to 7-8 kHz. However in telephony, speech is usually lowpass filtered at 3.4 kHz and sampled at 8 kHz. Although this filtering operation has little effect on intelligibility, it causes a perceptible degradation in speech quality. This paper deals with the reconstruction of the lost high frequency content of telephone speech using the low frequency spectral information. A reconstruction method based on a lookup table is described and preliminary results are presented.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116955290","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: 0
A Bayes Decision Model for RSS Based Location Estimation 基于RSS的位置估计Bayes决策模型
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298605
Z. Dinçer, R. Oktem, E. Aydin
{"title":"A Bayes Decision Model for RSS Based Location Estimation","authors":"Z. Dinçer, R. Oktem, E. Aydin","doi":"10.1109/SIU.2007.4298605","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298605","url":null,"abstract":"This work introduces a location estimation method based on Bayes decision theory using radio signal strengths for indoor environment. Signal strengths are observed through three transmitters at three distinct frequencies in UHF band, an active RFID tag and a modem connected to a computer. The test environment is 2100 cm × 720 cm, which is divided into classed of square grids. For each class, a set of received signal strengths are measured and processed. Assuming that the class in which the RFID lag was located in the previous time of measurement is known, the next location (class) is estimated using Bayes decision theory. Proposed method is tested in a laboratory environment with obstacles. Results show that proposed method will be successful in location estimation where the estimation error stays within around 2 m.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117007470","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: 0
Music Instrument Classification Using Generalized Gaussian Density Modeling 基于广义高斯密度模型的乐器分类
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298635
M. E. Ozbek, F. A. Savaci
{"title":"Music Instrument Classification Using Generalized Gaussian Density Modeling","authors":"M. E. Ozbek, F. A. Savaci","doi":"10.1109/SIU.2007.4298635","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298635","url":null,"abstract":"In this work, subband coefficients obtained from one dimensional wavelet decomposition of isolated note samples of different instruments has been modeled using generalized Gaussian density. By using only model parameters, the classification of music instruments has been done by calculating the Kullback-Leibler divergence between two different densities. The effect of different mother wavelet functions used in wavelet decomposition has also been investigated.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116874289","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
Motion and Disparity Aided Stereoscopic Full Frame Loss Concealment Method 运动和视差辅助立体全帧损失隐藏方法
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298790
Ç. Bilen, A. Aksay, G. Bozdagi Akar
{"title":"Motion and Disparity Aided Stereoscopic Full Frame Loss Concealment Method","authors":"Ç. Bilen, A. Aksay, G. Bozdagi Akar","doi":"10.1109/SIU.2007.4298790","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298790","url":null,"abstract":"Stereoscopic video is one of the emerging research areas especially among the video coding community. Along with the studies for efficiently compressing the stereoscopic and multiview video, new error concealment and error protection methods are also necessary to overcome the problems due to erroneous channel conditions in practical applications. In this paper we propose a full frame loss concealment algorithm for stereoscopic sequences. The proposed method uses redundancy and disparity between the two views and motion information between the previously decoded frames to estimate the lost frame. The results show that, the proposed algorithm outperforms the monoscopic methods when they are applied to the same view as they are simulcast coded.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114290346","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: 7
Imaging D2-Dopamine Receptor using PET PET成像d2 -多巴胺受体
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298698
M. Kamasak, C. Bouman, B. Christian, E. Morris
{"title":"Imaging D2-Dopamine Receptor using PET","authors":"M. Kamasak, C. Bouman, B. Christian, E. Morris","doi":"10.1109/SIU.2007.4298698","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298698","url":null,"abstract":"In this paper, we demonstrate how to form images of D2-dopamine receptor concentration in the brain with positron emission tomography (PET). The signal-to-noise ratio (SNR) of the reconstructed dynamic PET verileri is generally so low that region of interest (ROI) analysis is required to have accurate quantification. ROI analysis produces a single value of receptor concentration for each region in the brain. Elimination of intermediate reconstruction steps and direct reconstruction of parameters from sinograms allowed us to form dense images of parameters of interest. In this paper, we applied the direct parametric reconstruction algorithm to form images of D2-dopamine receptor concentration within monkey brain using 18F-fallypride radiotracer. Our initial investigations show that our D2 receptor images are consistent with the results of the classical ROI analysis.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114597526","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
Amplitude Weighting of Linear Frequency Modulated Chirp Signals 线性调频啁啾信号的幅值加权
2007 IEEE 15th Signal Processing and Communications Applications Pub Date : 2007-06-11 DOI: 10.1109/SIU.2007.4298828
A. Milewski, E. Sedek, S. Gawor
{"title":"Amplitude Weighting of Linear Frequency Modulated Chirp Signals","authors":"A. Milewski, E. Sedek, S. Gawor","doi":"10.1109/SIU.2007.4298828","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298828","url":null,"abstract":"Linear frequency modulated chirp signals are used in radar system. The signals may by easily compressed to increase range of the radar. To obtain compressed signal with small sidelobes, weighting function must be implemented. The paper describes some methods of chirp signals weighting that may by useful especially for signals with low compression ratio.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115171872","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: 7
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