{"title":"Generalized Improved Spread Spectrum Robust Against Shifting Attacks","authors":"N. Gerek, Kivanç Mihçak","doi":"10.1109/SIU.2007.4298742","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298742","url":null,"abstract":"In this work, we considered the improvement of robustness of spread spectrum watermarking. For spread spectrum watermarking, interference between the host signal and the watermark reduce the performance of the system. In order to prevent this interference, improved spread spectrum method has been proposed, which modulates the amplitude of the watermark in order to decorrelate the host and watermark. This method improves the noise immunity, however it is still not robust against geometric attacks. The generalized improved spectrum method proposed in this paper reduce the correlation between the watermark and the host signal, not only on the part where the watermark is injected, but also in its neighborhood. Therefore, robustness against geometric attacks (in particular translation and shifting) is improved.","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":"128572902","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":"Effect of Channel Estimation Errors on the Performance of Space Time Coded Systems With Antenna Selection","authors":"T. Gucluoglu, E. Panayirci","doi":"10.1109/SIU.2007.4298663","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298663","url":null,"abstract":"This paper presents the effects of channel estimation errors on the performance, especially diversity gain, of space-time coded systems with antenna selection. We consider maximum signal to noise ratio as the antenna selection criteria. Specifically, we first present the effect on the upper bound for pairwise error probability of space-time coded systems with antenna selection over flat fading channels. Moreover, we provide simulation results for the antenna selection at the receiver and/or transmitter to show the effect of channel estimation.","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":"128589398","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":"Eye Feature Point Tracking by Using Graphical Models","authors":"S. Coşar, M. Qetin","doi":"10.1109/SIU.2007.4298738","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298738","url":null,"abstract":"In this paper, a statistical method for eye feature point tracking is proposed. The aim is to track feature points even when the observed data are uncertain because of noise and/or occlusion. With this motivation, a graphical model that uses the spatial information as well as the temporal information between points is built. The proposed method is applied on 2D grayscale real video sequences as a real data application.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"46 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":"123194701","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":"Camera Sabotage Discovery for Video Surveillance Applications","authors":"A. Aksay, A. Temi̇zel, A. Cetin","doi":"10.1109/SIU.2007.4298763","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298763","url":null,"abstract":"In the recent years, number of surveillance cameras deployed has increased significantly. However it is important that these cameras are functioning as intended and capturing meaningful data. Offenders resort to techniques such as blocking the camera view, using a foreign object to cover the lens, spray painting or de-focusing the camera lens to prevent capture of their images and recording of their actions. These cameras are often unattended or security guard might have lost his focus and if discovery of such an attempt is not immediate, even though there is no failure in the system and the images are still being recorded, these recordings are not useful. In this paper, we propose methods for real-time discovery of visibility loss and covered camera lens using background subtraction in wavelet domain. We also propose some methods to increase robustness of the system in real-life scenarios.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"85 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120875254","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":"The Detection of Rotor Faults By Using Short Time Fourier Transform","authors":"H. Arabaci, O. Bilgin","doi":"10.1109/SIU.2007.4298628","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298628","url":null,"abstract":"In this paper an experimental study detecting of rotor faults in three-phase squirrel cage induction motors by means of short time Fourier transform (STFT) is presented. The frequency spectrum of motor line current is exploited for the detection. By obtaining a number of frequency spectrums from a current data with STFT and averaging these spectrums, faults are diagnosed instead of fast Fourier transform frequently applied at the detection of broken rotor faults in the literature. Five different faulted rotors are investigated. These faults are one bar with high resistance of the rotor, one broken bar of the rotor, two broken bars of the rotor, three broken bar of the rotor and broken end ring of the rotor. Artificial neural network is used for classification of faults. Test results show that this method increase the accuracy of the fault diagnose.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"216 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":"114213347","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":"Semi-Automatic Calculation of Prostate Contour In Ultrasound Images","authors":"H. Ş. Bilge, Volkan Verim","doi":"10.1109/SIU.2007.4298555","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298555","url":null,"abstract":"Prostate contour extraction is an important stage in automatic processing and three dimensional modeling of prostate images acquired from ultrasound devices. In this study, a new approach is presented for extracting prostate boundary from two dimensional ultrasound images. Firstly, noise in the rectangular subimage containing the prostate is reduced by Gaussian filter. This image region is divided into four subimages, each containing a different prostate part. Binarization by adaptive thresholding and then morphological closing and opening operations are applied to each subimage. Then, the edge points that are candidates to prostate contour are found according to local criteria in different parts of prostate. In selection of edge points, pixels are examined if they have special neighborhoods. The points that are satisfying the conditions and close to each other are combined. By using this proposed approach, the final contour of the prostate can be quite appropriately found at the first iteration. Thus, the result is obtained more quickly than the deformable models, that need to many iteration steps.","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":"121659251","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. Salari, M. Ahmadian, M. Ardebilipour, V. Meghdadi, J. Cances
{"title":"Turbo Receiver Design with EM-Based Frequency Synchronization for MIMO-OFDM Systems","authors":"S. Salari, M. Ahmadian, M. Ardebilipour, V. Meghdadi, J. Cances","doi":"10.1109/SIU.2007.4298856","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298856","url":null,"abstract":"A maximum-likelihood estimator (MLE) based on the expectation-maximization (EM) algorithm is presented to estimate the carrier frequency offset (CFO) in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. This MLE estimator is also capable to accommodate any space-time coded (STC)-OFDM transmission. Then by incorporation of proposed ML estimator into the initialization step of conventional turbo receiver, a novel turbo receiver with CFO estimation/compensation capability is developed for MIMO-OFDM systems. Simulation results are presented which clearly show the application of the proposed MLE estimator into the turbo receiver structure leads to a bit-error rate (BER) that is only slightly higher than that of a perfectly synchronized system, making it highly applicable.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"157 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":"121666699","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":"Watermarking for Image-Based Rendering via Homography-Based Virtual Camera Location Estimation","authors":"A. Koz, C. Qigla, Aydin Alatan","doi":"10.1109/SIU.2007.4298700","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298700","url":null,"abstract":"The recent advances in image based rendering (IBR) have pioneered freely determining the viewing position and angle in a scene from multi-view video. Remembering that a person could also record a personal video for this arbitrarily selected view and misuse this content, it is apparent that copyright and copy protection problems also exist and should be solved for IBR applications, as well. In our recent work (Alper Koz, 2006), we propose a watermarking method, which embeds the watermark pattern into every frame of multi-view video and extracts this watermark from a rendered image, generated by the nearest-interpolation based light-field rendering (LFR) and watermark detection is achieved for the cases in which the virtual camera could be arbitrarily located on the camera plane only. This paper presents an extension to the previous formulation for the rendered images, which are generated by using bilinear interpolation, namely the most attractive and promising interpolation method in LFR-based applications. Moreover, the location of the virtual camera could be completely arbitrary in this new formulation. The results show that the watermark could be extracted successfully for LFR via bilinear interpolation for any imagery camera location and rotation, as long as the visual quality of the rendered image is preserved.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"430 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":"113994232","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":"3-D Structure Assisted Reference View Generation for H.264 Based Multi-View Video Coding","authors":"O. S. Gedik, B. Ozkalayci, A. Alatan","doi":"10.1109/SIU.2007.4298674","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298674","url":null,"abstract":"A 3D geometry-based multi-view video coding (MVC) method is proposed. In order to utilize the spatial redundancies between multiple views, the scene geometry is estimated as dense depth maps. The dense depth estimation problem is modeled by using a Markov random field (MRF) and solved via the belief propagation algorithm. Relying on these depth maps of the scene, novel view estimates of the intermediate views of the multi-view set is obtained with a 3D warping algorithm, which also performs hole-filling in the occlusion regions. The proposed MVC method, based on H.264 standard, encodes a number of reference views in a standard manner, whereas the residuals of the novel view predictions are encoded separately. The proposed MVC method is compared against the well-known JMVM compression algorithm, yielding competitive performances, while additionally providing 3D structure information of the observed scene.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"113 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":"124159886","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":"Determining Efficiency of Speech Feature Groups in Emotion Detection","authors":"G. Polat, H. Altun","doi":"10.1109/SIU.2007.4298582","DOIUrl":"https://doi.org/10.1109/SIU.2007.4298582","url":null,"abstract":"Features, extract from speech parameter are frequently used in emotion detection problem. Prosodic, MFCC, LPC and band energy feature groups are commonly used in literature to detect emotion in speech. The aim of the study is to examine the efficiency of these features groups in emotion detection problem using a SVM classifier.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"94 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":"121712739","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}