Lijun Jiang, Shiqian Wu, Dajun Wu, F. Pan, E. Ong, Xiaokang Yang
{"title":"IR face synthesis using motion vector field","authors":"Lijun Jiang, Shiqian Wu, Dajun Wu, F. Pan, E. Ong, Xiaokang Yang","doi":"10.1109/ISSPA.2003.1224736","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224736","url":null,"abstract":"Infrared (IR) imaging device provides natural motivation for illumination-free face recognition. In this study, a method that can create a new IR face view between two given IR face images taken at different view points is presented, using motion vectors. Unlike existing prior arts which utilize optical flow, the proposed method utilizes the block based matching method to obtain correspondence between the two given IR face images. In addition, interpolation algorithm is employed to make the sparse motion vector \"dense\". An iterative error correction method is developed to reduce the errors of motion vectors. There is no facial features detection involved in our system so that it is suitable for IR images in which facial features like eyes, nose are blurred. The proposed method can be used for IR face recognition, animation, etc.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128920601","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":"Ordinal-based shape retrieval with relevance feedback","authors":"F. A. Cheikh, B. Cramariuc, M. Gabbouj","doi":"10.1109/ISSPA.2003.1224672","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224672","url":null,"abstract":"In this paper we propose to incorporate a feedback loop, into the ordinal correlation framework and apply it to shape-based image retrieval. The user's feedback on the relevance of the retrieval results is used to tune the weights of the similarity measure. Statistics from the features of both relevant and irrelevant items are used to estimate the weights. Moreover, the information accumulated from previous retrieval iterations is used in the weights estimation. A simple measure of the discrimination power is proposed and used to show that the relevance feedback increases the capability of the ordinal correlation scheme to discriminate between relevant and irrelevant objects.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130922323","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 STFT time signal analysis to the nonlinear Graetz's circuits","authors":"S. M. Perovich, S. Bauk","doi":"10.1109/ISSPA.2003.1224948","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224948","url":null,"abstract":"This paper derives novel formula in the time signal analysis of nonlinear Graetz's circuits, applying the special trans function theory (STFT). This mathematical approach used in the derivation of this formula is rigorous and yields a closed-form solution to the classical problem of solvability to the Graetz's transcendental circuit equation. An identification partial differential equation for the Graetz's circuit's transcendental equation has been applied and analyzed according to the requirements of the STFT. The graphical time signal representation for different magnitudes of the excitation function u(t), confirm the validity and base principle of the STFT to the time signal analysis of Graetz's circuits.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132931414","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":"Divergence measures for time-frequency distributions","authors":"Selin Aviyente","doi":"10.1109/ISSPA.2003.1224655","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224655","url":null,"abstract":"Distance measures between statistical models or between a model and observations are widely used concepts in signal processing. They are commonly used in solving problems such as detection, automatic segmentation, classification, pattern recognition and coding. In recent years, there has been an interest in extending these distance measures to the time-frequency plane. It has been suggested that these measures can be used for discriminating between nonstationary signals based on their time-frequency representations. In this paper, several well-known distance measures from information theory will be adapted to the time-frequency plane. The application of these measures for signal detection will be presented. The performance of these measures will be illustrated through an example.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"50 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133293466","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 algorithm to compute unified complex Hadamard transform","authors":"S. Rahardja, S. Xie","doi":"10.1109/ISSPA.2003.1224843","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224843","url":null,"abstract":"This paper focuses on the study of unified complex Hadamard transforms (UCHT) whose transformation matrices contain elements /spl plusmn/1 and /spl plusmn/i. New properties of the UCHT are presented. From the newly discovered properties, the UCHT is conveniently calculated by computing real Walsh Hadamard transform (WHT) of real and imaginary parts of a set of data, which are multiplied by a set of constant complex values, and multiplying the transformed values by some constant complex factors.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132435941","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":"A new digital filter bank for digital audio applications","authors":"C. Yang, Y. Lian","doi":"10.1109/ISSPA.2003.1224865","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224865","url":null,"abstract":"This paper presents the design of novel non-uniform linear phase digital filter banks based on the frequency-response masking technique. The proposed filter banks do not employ the multi-rate signal processing technique and is able to perform the equalization for each subband. This type of filter banks is very well suitable for digital audio applications. It is shown, by means of examples, that the proposed filter banks yield considerable savings in the number of arithmetic operations compared with traditional design methods.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134619776","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":"Transmission diversity ambiguities and adaptive channel tracking","authors":"H. S. Rad, S. Gazor","doi":"10.1109/ISSPA.2003.1224636","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224636","url":null,"abstract":"This paper studies the error propagation effect that is caused by some ambiguities in joint data detection-channel tracking algorithm for transmission diversity schemes. Some remedies to avoid or to overcome these error propagations are suggested. In this paper, a ST receiver is used that is based on the maximum a posteriori (MAP) method. It takes into account the channel estimation error assuming the unknown channel to have a given complex multivariate Gaussian probability density function (pdf) (i.e., a Rician channel). An adaptive algorithm which is capable of efficiently tracking a fast Raleigh fading channel is used for iterative channel estimation. However, the occurrence of two types of ambiguities during deep fades result in error propagation. Some solutions called space-time ambiguity remedies (STAR) are proposed to prevent error propagation; a new time varying space-time (VAST) coding is suggested as an efficient method to combat these ambiguities. Simulation results confirm the validity of each proposed technique.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127409045","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":"MR image coding using content-based mesh and context","authors":"R. Srikanth, A. G. Ramakrishnan","doi":"10.1109/ISSPA.2003.1224646","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224646","url":null,"abstract":"Existing schemes for 3-D magnetic resonance (MR) images, such as block matching method and uniform mesh-based scheme, are inadequate to model the motion field of MR sequence because deformation within a mesh element may not all be similar. We propose a scheme consisting of (a) content-based mesh generation using optic flow between two consecutive images (b) forward motion tracking (c) motion compensation using affine transformation and (d) context-based modeling. We also propose a simple scheme to overcome aperture problem at edges where an accurate estimation of motion vectors is not possible. By using context-based modeling, motion compensation yields a better estimate of the next frame and hence a lower entropy of the residue. The obtained average compression ratio of 4.3 is better than the values of 4, achieved by CALIC, and 3, by the existing uniform mesh-based interframe coding scheme.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"264 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115183122","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 accurate variance expression of Pisarenko's method for sinusoidal frequency estimation","authors":"Frankie K. W. Chan, H. So","doi":"10.1109/ISSPA.2003.1224923","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224923","url":null,"abstract":"Pisarenko harmonic decomposition (PHD) method for sinusoidal frequency estimation has been extensively analyzed in the literature. However, none of the analyses can provide an accurate frequency variance expression particularly for small data record lengths and/or high signal-to-noise ratios (SNHs). With the use of a simple variance analysis technique, an exact expression of the PHD variance for single-lone frequency estimation is derived in this paper. An approximate PHD variance formula for sufficiently large data lengths and SNHs, as well as the upper and lower performance bounds are also included.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124115504","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":"Mobile unit velocity estimation in microcellular systems using the ZCR of the instantaneous frequency of the received signal","authors":"G. Azemi, B. Senadji, B. Boashash","doi":"10.1109/ISSPA.2003.1224697","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224697","url":null,"abstract":"This paper presents a new estimator for the velocity of a mobile station in microcellular systems. The proposed estimator is based on the zero-crossing rate of the instantaneous frequency of the received signal. The effects of additive noise, scattering distribution, and shadowing on the proposed velocity estimator are analyzed. The IF-based velocity estimator outperforms the conventional estimators in the presence of shadowing.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124377261","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}