Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing最新文献
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.632193
D. B. Bradshaw, N. Kingsbury, A. Kokaram
This paper describes a fast search algorithm for warping motion compensation schemes which is based on a first order approximation of a Taylor series. In comparison to a full search algorithm the technique significantly reduces the required computational load (by a factor of approximately fifty) whilst maintaining the performance in terms of prediction error. Further gains in prediction error performance are expected as the new algorithm is investigated further.
{"title":"A gradient based fast search algorithm for warping motion compensation schemes","authors":"D. B. Bradshaw, N. Kingsbury, A. Kokaram","doi":"10.1109/ICIP.1997.632193","DOIUrl":"https://doi.org/10.1109/ICIP.1997.632193","url":null,"abstract":"This paper describes a fast search algorithm for warping motion compensation schemes which is based on a first order approximation of a Taylor series. In comparison to a full search algorithm the technique significantly reduces the required computational load (by a factor of approximately fifty) whilst maintaining the performance in terms of prediction error. Further gains in prediction error performance are expected as the new algorithm is investigated further.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"57 10","pages":"602-605 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72622279","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.648114
G. Wolberg
This paper describes a fast algorithm for nonuniform image reconstruction. A multiresolution approach is formulated to compute a C/sup 2/-continuous surface through a set of irregularly spaced samples. The algorithm makes use of a coarse-to-fine hierarchy of control lattices to generate a sequence of surfaces whose sum approaches the desired interpolating surface. Experimental results demonstrate that high fidelity reconstruction is possible from a selected set of sparse and irregular samples.
{"title":"Nonuniform image reconstruction using multilevel surface interpolation","authors":"G. Wolberg","doi":"10.1109/ICIP.1997.648114","DOIUrl":"https://doi.org/10.1109/ICIP.1997.648114","url":null,"abstract":"This paper describes a fast algorithm for nonuniform image reconstruction. A multiresolution approach is formulated to compute a C/sup 2/-continuous surface through a set of irregularly spaced samples. The algorithm makes use of a coarse-to-fine hierarchy of control lattices to generate a sequence of surfaces whose sum approaches the desired interpolating surface. Experimental results demonstrate that high fidelity reconstruction is possible from a selected set of sparse and irregular samples.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"90 1","pages":"909-912 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73637960","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.648085
J. Shu, Jamie Li, Andrei Pascovici
This paper describes a novel screen generation with multiple layer cluster-dot to achieve high quality and high resolution color ink jet printing with reduced moire patterning and ink bleeding. Conventional cluster-dot screens at high resolution ink jet printing produces severe moire patterns that are visible beating frequency components between screen, and horizontal print banding frequencies. It also results ink bleeding due to too much ink printed locally. Experimental results are presented to show the effectiveness of the technique.
{"title":"Multiple layer screening for reducing moire patterning and ink bleeding","authors":"J. Shu, Jamie Li, Andrei Pascovici","doi":"10.1109/ICIP.1997.648085","DOIUrl":"https://doi.org/10.1109/ICIP.1997.648085","url":null,"abstract":"This paper describes a novel screen generation with multiple layer cluster-dot to achieve high quality and high resolution color ink jet printing with reduced moire patterning and ink bleeding. Conventional cluster-dot screens at high resolution ink jet printing produces severe moire patterns that are visible beating frequency components between screen, and horizontal print banding frequencies. It also results ink bleeding due to too much ink printed locally. Experimental results are presented to show the effectiveness of the technique.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"17 1","pages":"803-806 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73852034","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.647372
HongJiang Zhang, John Y. A. Wang, Y. Altunbasak
Video compression and retrieval have been treated as separate problems in the past. We present an object-based video representation that facilitates both compression and retrieval. Typically in retrieval applications, a video sequence is subdivided in time into a set of shorter segments each of which contains similar content. These segments are represented by 2-D representative images called "key-frames" that greatly reduce amount of data that is searched. However, key-frames do not describe the motions and actions of objects within the segment. We propose a representation that extends the ideas of the key-frame to further include what we define as "key-objects". These key-objects consist of regions within a key-frame that move with similar motion. Thus our key-objects allow a retrieval system to more efficiently present information to users and assist them in browsing and retrieving relevant video content.
{"title":"Content-based video retrieval and compression: a unified solution","authors":"HongJiang Zhang, John Y. A. Wang, Y. Altunbasak","doi":"10.1109/ICIP.1997.647372","DOIUrl":"https://doi.org/10.1109/ICIP.1997.647372","url":null,"abstract":"Video compression and retrieval have been treated as separate problems in the past. We present an object-based video representation that facilitates both compression and retrieval. Typically in retrieval applications, a video sequence is subdivided in time into a set of shorter segments each of which contains similar content. These segments are represented by 2-D representative images called \"key-frames\" that greatly reduce amount of data that is searched. However, key-frames do not describe the motions and actions of objects within the segment. We propose a representation that extends the ideas of the key-frame to further include what we define as \"key-objects\". These key-objects consist of regions within a key-frame that move with similar motion. Thus our key-objects allow a retrieval system to more efficiently present information to users and assist them in browsing and retrieving relevant video content.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"72 1","pages":"13-16 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84173392","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.648095
J. Ródenas, R. Garello, D. Cabarrocas
An efficient computational framework for the extraction of mesoscale features, i.e. internal waves, present in SAR images is discussed. A method for coastline detection based on a sequence of basic-processing procedures followed by a contour tracing algorithm is also introduced in order to obtain sea-land separation to enhance the internal wave detection problem. The utility of wavelet analysis as a tool for automatic oceanic internal wave detection and orientation from SAR images is examined using the 2-D wavelet transform based on the local modulus maxima. We show that the evolution of wavelet local maxima across scales characterize the local shape of these quasi-linear structures. The results from this study show that wavelet analysis is an excellent tool to detect internal waves from satellite images against internal wave lookalikes.
{"title":"Wavelet transform of SAR images for internal wave detection and orientation","authors":"J. Ródenas, R. Garello, D. Cabarrocas","doi":"10.1109/ICIP.1997.648095","DOIUrl":"https://doi.org/10.1109/ICIP.1997.648095","url":null,"abstract":"An efficient computational framework for the extraction of mesoscale features, i.e. internal waves, present in SAR images is discussed. A method for coastline detection based on a sequence of basic-processing procedures followed by a contour tracing algorithm is also introduced in order to obtain sea-land separation to enhance the internal wave detection problem. The utility of wavelet analysis as a tool for automatic oceanic internal wave detection and orientation from SAR images is examined using the 2-D wavelet transform based on the local modulus maxima. We show that the evolution of wavelet local maxima across scales characterize the local shape of these quasi-linear structures. The results from this study show that wavelet analysis is an excellent tool to detect internal waves from satellite images against internal wave lookalikes.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"C-25 1","pages":"841-844 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84430338","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.632180
M. Kubo, T. Tozaki, N. Niki, S. Nakagawa, K. Eguchi, M. Kaneko, H. Ohmatsu, N. Moriyama, N. Yamaguchi
Helical computed tomography (CT) is a promising tool for the early diagnosis of lung cancer. The three-dimensional information makes it possible to detect a subtle change in any field of the lung. However, the diagnostic procedure is time-consuming, since a considerable number of images have to be reviewed in one examination. In order to lessen the burden to the reviewing physician and to improve the accuracy of diagnosis, we are developing a computer system, by which shadows of diagnostic importance can be highlighted among a number of nuisance changes. In particular, the peripheral blood vessels are analyzed with a special focus on the changes caused by lung cancer. We developed a computer algorithm, by which pulmonary blood vessels are extracted after removing the background bias. The comparison between the computer algorithm and an expert physician's reading showed a good agreement. Furthermore, this system can provide temporal changes in blood vessels, which are extremely important in diagnosis.
{"title":"Bias field correction of chest thin section CT images","authors":"M. Kubo, T. Tozaki, N. Niki, S. Nakagawa, K. Eguchi, M. Kaneko, H. Ohmatsu, N. Moriyama, N. Yamaguchi","doi":"10.1109/ICIP.1997.632180","DOIUrl":"https://doi.org/10.1109/ICIP.1997.632180","url":null,"abstract":"Helical computed tomography (CT) is a promising tool for the early diagnosis of lung cancer. The three-dimensional information makes it possible to detect a subtle change in any field of the lung. However, the diagnostic procedure is time-consuming, since a considerable number of images have to be reviewed in one examination. In order to lessen the burden to the reviewing physician and to improve the accuracy of diagnosis, we are developing a computer system, by which shadows of diagnostic importance can be highlighted among a number of nuisance changes. In particular, the peripheral blood vessels are analyzed with a special focus on the changes caused by lung cancer. We developed a computer algorithm, by which pulmonary blood vessels are extracted after removing the background bias. The comparison between the computer algorithm and an expert physician's reading showed a good agreement. Furthermore, this system can provide temporal changes in blood vessels, which are extremely important in diagnosis.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"12 1","pages":"551-554 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84435613","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.638787
S. Horbelt, F. Jordan, T. Ebrahimi
We present a novel technique for efficient coding of texture to be mapped on 3D landscapes. The technique enables to stream the data across the network using a back-channel. The use of wavelet and discrete cosine transforms is investigated and compared. This technology has been proposed has a tool for the emerging MPEG-4 standard.
{"title":"Streaming of photo-realistic texture mapped on 3D surface","authors":"S. Horbelt, F. Jordan, T. Ebrahimi","doi":"10.1109/ICIP.1997.638787","DOIUrl":"https://doi.org/10.1109/ICIP.1997.638787","url":null,"abstract":"We present a novel technique for efficient coding of texture to be mapped on 3D landscapes. The technique enables to stream the data across the network using a back-channel. The use of wavelet and discrete cosine transforms is investigated and compared. This technology has been proposed has a tool for the emerging MPEG-4 standard.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"104 1","pages":"390-393 vol.2"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84749976","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.648108
S. Mathieu-Marni, S. Kuttikkad, R. Chellappa
This paper introduces techniques for context-aided false alarm reduction for automatic target recognition (ATR) in airborne synthetic aperture radar (SAR) images. Candidate target pixels are identified using constant false alarm rate (CFAR) detection. If only a single radar image is available, a 2-D site model is constructed and used to determine regions inhospitable to targets. In multipass imagery, false alarm reduction is based on consistent appearance of the target blob in two or more images after registration. Finally, a target-versus-clutter discrimination based on size, shape and intensity features further reduces false alarms in preparation for target recognition algorithms.
{"title":"Context-aided false alarm reduction for SAR automatic target recognition","authors":"S. Mathieu-Marni, S. Kuttikkad, R. Chellappa","doi":"10.1109/ICIP.1997.648108","DOIUrl":"https://doi.org/10.1109/ICIP.1997.648108","url":null,"abstract":"This paper introduces techniques for context-aided false alarm reduction for automatic target recognition (ATR) in airborne synthetic aperture radar (SAR) images. Candidate target pixels are identified using constant false alarm rate (CFAR) detection. If only a single radar image is available, a 2-D site model is constructed and used to determine regions inhospitable to targets. In multipass imagery, false alarm reduction is based on consistent appearance of the target blob in two or more images after registration. Finally, a target-versus-clutter discrimination based on size, shape and intensity features further reduces false alarms in preparation for target recognition algorithms.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"4 1","pages":"885-888 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84769588","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.638775
L. Alparone, A. Garzelli
The idea of the present scheme is to apply a directional version of geometric filter (complementary-hull) to the different sub-bands into which the noisy image is decomposed by the S-transform, a dyadic Haar wavelet yielding integer valued coefficients. The hull algorithm is applied only on the direction(s) along which the signal is more structured. The number of iterations is adjusted to the SNR of the sub-bands, so as to preserve spatial details to the largest extent. Comparisons with the standard geometric filter are presented for images affected by synthetic multiplicative (speckle) noise. Results are pretty superior to those achieved without multiresolution context, both visually and in terms of SNR.
{"title":"Content-matched geometric filtering of image subbands for edge-preserving noise reduction","authors":"L. Alparone, A. Garzelli","doi":"10.1109/ICIP.1997.638775","DOIUrl":"https://doi.org/10.1109/ICIP.1997.638775","url":null,"abstract":"The idea of the present scheme is to apply a directional version of geometric filter (complementary-hull) to the different sub-bands into which the noisy image is decomposed by the S-transform, a dyadic Haar wavelet yielding integer valued coefficients. The hull algorithm is applied only on the direction(s) along which the signal is more structured. The number of iterations is adjusted to the SNR of the sub-bands, so as to preserve spatial details to the largest extent. Comparisons with the standard geometric filter are presented for images affected by synthetic multiplicative (speckle) noise. Results are pretty superior to those achieved without multiresolution context, both visually and in terms of SNR.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"1 1","pages":"362-365 vol.2"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84805178","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.647806
D. Tzovaras, Y. Kompatsiaris, M. Strintzis
This paper describes a procedure for model-based coding of all the channels of a multiview image sequence. The scheme is initialized by the adaptation of a wireframe model to the consistent depth information. Robust classification techniques are then used to obtain an articulated description of the foreground of the scene (head, neck, shoulders). The object articulation procedure is based on a novel scheme for the segmentation of the rigid 3D motion fields of the triangle patches of the 3D model object. Spatial neighborhood constraints are used to improve the reliability of the original triangle motion estimation. The motion estimation and motion field segmentation procedures are repeated iteratively until a satisfactory object articulation emerges. Rigid 3D motion estimation is performed next for each resulting sub-object. The performance of the resulting articulation method is evaluated experimentally.
{"title":"3D object articulation and motion estimation for efficient multiview image sequence coding","authors":"D. Tzovaras, Y. Kompatsiaris, M. Strintzis","doi":"10.1109/ICIP.1997.647806","DOIUrl":"https://doi.org/10.1109/ICIP.1997.647806","url":null,"abstract":"This paper describes a procedure for model-based coding of all the channels of a multiview image sequence. The scheme is initialized by the adaptation of a wireframe model to the consistent depth information. Robust classification techniques are then used to obtain an articulated description of the foreground of the scene (head, neck, shoulders). The object articulation procedure is based on a novel scheme for the segmentation of the rigid 3D motion fields of the triangle patches of the 3D model object. Spatial neighborhood constraints are used to improve the reliability of the original triangle motion estimation. The motion estimation and motion field segmentation procedures are repeated iteratively until a satisfactory object articulation emerges. Rigid 3D motion estimation is performed next for each resulting sub-object. The performance of the resulting articulation method is evaluated experimentally.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"95 1","pages":"460-463 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84937600","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}
Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing
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