{"title":"A nearly lossless vector quantization algorithm for compression of remotely sensed images","authors":"K. Sayood","doi":"10.1109/ACSSC.1998.751526","DOIUrl":"https://doi.org/10.1109/ACSSC.1998.751526","url":null,"abstract":"Most compression algorithms are designed for minimizing a squared error criterion. The squared error criterion does not accurately represent the fidelity requirements for scientific image compression. In this paper we propose a distortion measure which correlates with subjective evaluations, and an adaptive vector quantization algorithm which minimizes this distortion measure. A new approach to codebook design is presented to replace the nearest neighbor approach.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130653905","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":"New image processing algorithms requiring almost no a priori design information","authors":"C. Lindquist, T. Lindquist, T. V. Lindquist","doi":"10.1109/ACSSC.1998.751406","DOIUrl":"https://doi.org/10.1109/ACSSC.1998.751406","url":null,"abstract":"New Class 3 image processing algorithms are presented. They are direct extensions of previously published one-dimensional algorithms. Class 3 algorithms require almost no a priori information knowledge about the signal and noise that are being processed. Their performance depends upon the kind of smoothing used and on the images being processed by the filter. The previously published Class 3 filter algorithms require that the filter input be stationary, and that the noise spectrum have zero mean and be uncorrelated to the signal. For the new Class 3 image processing algorithms, the only additional assumption for the noise is that its spectrum be white. Simulations using Lena demonstrate much better performance using the new Class 3 algorithms over the standard Class 3 algorithms.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130756819","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":"Spatio-temporal relationships and video object extraction","authors":"Yining Deng, B. S. Manjunath","doi":"10.1109/ACSSC.1998.751011","DOIUrl":"https://doi.org/10.1109/ACSSC.1998.751011","url":null,"abstract":"An object-based representation for video data can facilitate video search and content analysis. Detecting physical meaningful video object is a challenging open issue, and requires intelligent spatio-temporal segmentation and tracking. Normally, this is done through spatio-temporal segmentation and region tracking. In this work, some of the practical issues of segmentation and tracking problems are addressed. Due to the limitation of using low-level visual features in the segmentation, the tracked regions are more likely to be fragmented parts of some meaningful objects. However if a collection of video shots that contain a particular object of interest are given, spatio-temporal correlations would exist between the neighboring regions of the object. A method of mining association rules is used to discover these patterns and thus to find possible objects in the scene. Initial experimental results of this approach are shown.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132873964","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":"Time domain channel estimation for the uplink of multicarrier DS-CDMA systems","authors":"G. Ye, G. Bi, Liquan Fang","doi":"10.1109/ACSSC.1998.751649","DOIUrl":"https://doi.org/10.1109/ACSSC.1998.751649","url":null,"abstract":"We propose a time domain maximum likelihood channel estimator for the uplink of multicarrier DS-CDMA communication systems in the presence of slowly varying frequency-selective fading. The expectation maximization algorithm is developed for estimating the carrier phases, amplitudes and propagation delays of the uplink channel based on the training sequence which is transmitted with the subcarriers used for data transmission. The performance of the resulting estimator is evaluated via simulation. The results indicate that the estimator is well suited for coherent data detection at the receiver associated with maximal ratio combining.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130286444","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":"Non-efficiency of the non-linear least squares estimator of polynomial phase signals in colored noise","authors":"M. Ghogho, A. Swami","doi":"10.1109/ACSSC.1998.751566","DOIUrl":"https://doi.org/10.1109/ACSSC.1998.751566","url":null,"abstract":"The focus of this paper is on the estimation of the parameters of a constant amplitude polynomial phase signal (PPS) observed in circularly symmetric colored complex Gaussian noise. We derive a closed-form expression for the large-sample Cramer-Rao bound and show that it depends upon an average SNR defined in the frequency domain (as opposed to the time-domain averaged SNR, i.e., the variance). The non-linear least squares estimator (NLLSE) is derived, and its performance studied. We show that the NLLSE is not asymptotically efficient. This is in contrast with the case of harmonic signals in colored noise. The asymptotic relative efficiency (ARE) of the NLLSE is studied both analytically and through simulations. It is seen that the larger the bandwidth of the noise, the larger the ARE. Although the NLLSE is not efficient, it provides a good compromise between computational complexity and estimation accuracy.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121304005","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 multi-band nonlinear oscillator model for speech","authors":"H. Haas, G. Kubin","doi":"10.1109/ACSSC.1998.750882","DOIUrl":"https://doi.org/10.1109/ACSSC.1998.750882","url":null,"abstract":"Nonlinear self-oscillating systems can model speech without an external excitation that drives a conventional filter model. However, they often do not give due consideration to perceptually important but weak signal components such as the higher formants of voiced speech. To overcome this problem, we propose two frequency-domain oscillator models: a bank of sub-band oscillators with individual oscillator states and a multi-band oscillator with a single joint state vector. Their state-transition map is approximated with compactly parameterized multivariate adaptive regression splines (MARS) and the systems are successfully tested in short-term prediction and synthesis experiments with sustained vowels.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113960833","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":"Transient signal detection using unitary transformations","authors":"S. Han, D. Cochran","doi":"10.1109/ACSSC.1998.751559","DOIUrl":"https://doi.org/10.1109/ACSSC.1998.751559","url":null,"abstract":"This paper examines the application of axis warping functions, a class of unitary transformation on the space of finite-energy signals, in detection of transient signals. Many signals associated with rotating machinery subjected to time-varying mechanical loading, speed changes, or motion relative to a sensor are well modeled by sinusoids transformed by this type of warping. This observation provides a new perspective on detection of an important class of transient signals.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125126754","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 DWT-based perceptually lossless color image compression architecture","authors":"F. Marino, T. Acharya, Lina Karam","doi":"10.1109/ACSSC.1998.750844","DOIUrl":"https://doi.org/10.1109/ACSSC.1998.750844","url":null,"abstract":"In this paper we propose a DWT-based perceptually lossless image compression algorithm and architecture. Many image-capturing devices acquire images in subsampled R-G-B format and have real-time constraints which prohibit conversion to other formats, generally preferred for image compression, such as Y-Cb-Cr. Therefore, we propose a compression algorithm which works performed directly on the subsampled R-G-B data. The scheme exploits the correlation between the color planes and the perceptual sensitivity of the human visual system in order to improve the compression ratio. Moreover it can be easily mapped into an integrated fast architecture yielding very high throughput.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122393625","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":"Internet access to digital medical X-rays by image features and associated text","authors":"L. Long, G. Thoma","doi":"10.1109/ACSSC.1998.751012","DOIUrl":"https://doi.org/10.1109/ACSSC.1998.751012","url":null,"abstract":"The Web-based Medical Information Retrieval System (WebMIRS) allows Internet access to databases containing 17,000 digitized X-ray spine images and associated textual data from National Health and Nutrition examination Surveys (NHANES). WebMIRS allows SQL query of the text, and viewing of the returned text records and images using a standard browser. We are segmenting a subset of the vertebrae, using techniques from vertebral morphometry. From this, we derive and add to the database vertebral features. This image-derived data will enhance the user's data access capability by enabling the creation of combined SQL/image-content queries.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133343833","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":"Adaptive detection performance of principal components inverse, cross spectral metric and the partially adaptive multistage Wiener filter","authors":"B. Freburger, D. Tufts","doi":"10.1109/ACSSC.1998.751581","DOIUrl":"https://doi.org/10.1109/ACSSC.1998.751581","url":null,"abstract":"This paper compares the small sample adaptive detection performance of the principal component inverse (PCI) method with the newer cross spectral metric (CSM) and partially adaptive multistage Wiener filter for the partially adaptive sidelobe canceller. By examining properties of the estimated metrics, scenarios which will result in poor performance can be identified, providing insight on the best choice of method for a given application.","PeriodicalId":393743,"journal":{"name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134557602","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}