Pub Date : 2001-09-26DOI: 10.1109/ICIAP.2001.957046
G. Giacinto, F. Roli, G. Fumera
Despite the efforts to reduce the semantic gap between user perception of similarity and feature-based representation of images, user interaction is essential to improve retrieval performance in content-based image retrieval. To this end a number of relevance feedback mechanisms are currently adopted to refine image queries. They are aimed either to locally modify the feature space or to shift the query point towards more promising regions of the feature space. A novel adaptive query shifting mechanism is proposed to improve retrieval performance beyond that provided by other relevance feedback mechanisms. In addition we discuss the extent to which query shifting may provide better performance than feature weighting and provide experimental results on the complementarity of the two approaches. Finally, some combinational approaches are proposed to exploit such complementarities.
{"title":"Comparison and combination of adaptive query shifting and feature relevance learning for content-based image retrieval","authors":"G. Giacinto, F. Roli, G. Fumera","doi":"10.1109/ICIAP.2001.957046","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957046","url":null,"abstract":"Despite the efforts to reduce the semantic gap between user perception of similarity and feature-based representation of images, user interaction is essential to improve retrieval performance in content-based image retrieval. To this end a number of relevance feedback mechanisms are currently adopted to refine image queries. They are aimed either to locally modify the feature space or to shift the query point towards more promising regions of the feature space. A novel adaptive query shifting mechanism is proposed to improve retrieval performance beyond that provided by other relevance feedback mechanisms. In addition we discuss the extent to which query shifting may provide better performance than feature weighting and provide experimental results on the complementarity of the two approaches. Finally, some combinational approaches are proposed to exploit such complementarities.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121336379","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 : 2001-09-26DOI: 10.1109/ICIAP.2001.957074
N. Kirchgessner, H. Spies, H. Scharr, U. Schurr
We present a method for botanical growth analysis of plant roots in physiological coordinates which is necessary for the evaluation of growth mechanisms in roots. The presented framework can be used on long image sequences up to several days. First the displacement vector field is estimated by the structure tensor method. Secondly the physiological coordinates of the root are determined by active contours fitted to the root boundary. Then the middle line as the object coordinate axis of the root is calculated. In the third step the displacement field is sampled and projected on the middle line. This yields an array of tangential displacements along the root which is used to calculate the spatially resolved expansion rate of the root along its length. The performance of the presented framework is demonstrated on both synthetic and real data.
{"title":"Root growth analysis in physiological coordinates","authors":"N. Kirchgessner, H. Spies, H. Scharr, U. Schurr","doi":"10.1109/ICIAP.2001.957074","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957074","url":null,"abstract":"We present a method for botanical growth analysis of plant roots in physiological coordinates which is necessary for the evaluation of growth mechanisms in roots. The presented framework can be used on long image sequences up to several days. First the displacement vector field is estimated by the structure tensor method. Secondly the physiological coordinates of the root are determined by active contours fitted to the root boundary. Then the middle line as the object coordinate axis of the root is calculated. In the third step the displacement field is sampled and projected on the middle line. This yields an array of tangential displacements along the root which is used to calculate the spatially resolved expansion rate of the root along its length. The performance of the presented framework is demonstrated on both synthetic and real data.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121241494","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 : 2001-09-26DOI: 10.1109/ICIAP.2001.957055
M. Kanoh, Shogo Yasuhara, H. Itoh, Shohei Kato
This paper proposes an earthenware reconstruction system, which can automatically reconstruct some earthenware from numerous given potsherds in two-dimensional grayscale images. The system supposes that given potsherds are thin and moderately flat and small. Some earthenware having three-dimensional shape, such as crocks, can be reconstructed by the system within the supposition. The system performs earthenware reconstruction through two phases. At the first phase, potsherds are joined automatically in two dimensions. An efficient joint detection algorithm using surface pattern and shape similarity is proposed at this phase. At the second phase, three-dimensional shape is recovered by an adequate three-dimensional transformation. Some experimental results of reconstruction from numerous potsherds are also reported.
{"title":"Similarity-based approach to earthenware reconstruction","authors":"M. Kanoh, Shogo Yasuhara, H. Itoh, Shohei Kato","doi":"10.1109/ICIAP.2001.957055","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957055","url":null,"abstract":"This paper proposes an earthenware reconstruction system, which can automatically reconstruct some earthenware from numerous given potsherds in two-dimensional grayscale images. The system supposes that given potsherds are thin and moderately flat and small. Some earthenware having three-dimensional shape, such as crocks, can be reconstructed by the system within the supposition. The system performs earthenware reconstruction through two phases. At the first phase, potsherds are joined automatically in two dimensions. An efficient joint detection algorithm using surface pattern and shape similarity is proposed at this phase. At the second phase, three-dimensional shape is recovered by an adequate three-dimensional transformation. Some experimental results of reconstruction from numerous potsherds are also reported.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126078981","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 : 2001-09-26DOI: 10.1109/ICIAP.2001.957045
N. Ouerhani, J. Bracamonte, Heinz Hugli, M. Ansorge, F. Pellandini
This paper reports an adaptive still color image compression method which produces automatically selected ROI with a higher reconstruction quality with respect to the rest of the input image. The ROI are generated on-the fly with a purely data-driven technique based on visual attention. Inspired from biological vision, the multicue visual attention algorithm detects the most visually salient regions of an image. Thus, when operating in systems with low bit rate constraints, the adaptive coding scheme favors the allocation of a higher number of bits to those image regions that are more conspicuous to the human visual system. The compressed image files produced by this adaptive method are fully compatible with the JPEG standard, which favors their widespread utilization.
{"title":"Adaptive color image compression based on visual attention","authors":"N. Ouerhani, J. Bracamonte, Heinz Hugli, M. Ansorge, F. Pellandini","doi":"10.1109/ICIAP.2001.957045","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957045","url":null,"abstract":"This paper reports an adaptive still color image compression method which produces automatically selected ROI with a higher reconstruction quality with respect to the rest of the input image. The ROI are generated on-the fly with a purely data-driven technique based on visual attention. Inspired from biological vision, the multicue visual attention algorithm detects the most visually salient regions of an image. Thus, when operating in systems with low bit rate constraints, the adaptive coding scheme favors the allocation of a higher number of bits to those image regions that are more conspicuous to the human visual system. The compressed image files produced by this adaptive method are fully compatible with the JPEG standard, which favors their widespread utilization.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134007679","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 : 2001-09-26DOI: 10.1109/ICIAP.2001.957058
Ingela Nyström, G. S. D. Baja, S. Svensson
This paper describes a technique to represent relevant information of tree-like structures in a compact way. The technique is general. In the application described here, the images are obtained with contrast-enhanced magnetic resonance angiography (MRA). After segmentation, the vessels are reduced to fully reversible surface skeletons. Thereafter a novel approach to curve skeletonization based on the detection of junctions and curves in the surface skeleton is used. This procedure results in a good description of the tree structure of the vessels, where they are represented with a much smaller number of voxels. This representation is suitable for further quantitative analysis, e.g., measurements of vessel width and length.
{"title":"Representing volumetric vascular structures using curve skeletons","authors":"Ingela Nyström, G. S. D. Baja, S. Svensson","doi":"10.1109/ICIAP.2001.957058","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957058","url":null,"abstract":"This paper describes a technique to represent relevant information of tree-like structures in a compact way. The technique is general. In the application described here, the images are obtained with contrast-enhanced magnetic resonance angiography (MRA). After segmentation, the vessels are reduced to fully reversible surface skeletons. Thereafter a novel approach to curve skeletonization based on the detection of junctions and curves in the surface skeleton is used. This procedure results in a good description of the tree structure of the vessels, where they are represented with a much smaller number of voxels. This representation is suitable for further quantitative analysis, e.g., measurements of vessel width and length.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130772339","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 : 2001-09-26DOI: 10.1109/ICIAP.2001.957061
D. Tegolo, Cesare Valenti
There is growing interest in multiple sequence image analysis to represent those data in a new landscape, for instance reconstruction of old films, mosaicing of images. This paper focuses attention on the mosaic problem; it introduces a naive method to link together images where a common part of the scene is present among two images. An application has been developed to test the method on aerial sequences of images. Given the long distance of aircraft from the scene, the method assumes images without distortions and without problems of prospective. Moreover, the application does not need any additional parameters coming from human experience and for this reason it can be thought of as a full automated application. In our experimentation the method shows good results and it appears robust and accurate for that kind of image.
{"title":"A naive approach to compose aerial images in a mosaic fashion","authors":"D. Tegolo, Cesare Valenti","doi":"10.1109/ICIAP.2001.957061","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957061","url":null,"abstract":"There is growing interest in multiple sequence image analysis to represent those data in a new landscape, for instance reconstruction of old films, mosaicing of images. This paper focuses attention on the mosaic problem; it introduces a naive method to link together images where a common part of the scene is present among two images. An application has been developed to test the method on aerial sequences of images. Given the long distance of aircraft from the scene, the method assumes images without distortions and without problems of prospective. Moreover, the application does not need any additional parameters coming from human experience and for this reason it can be thought of as a full automated application. In our experimentation the method shows good results and it appears robust and accurate for that kind of image.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"268 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132637106","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 : 2001-09-26DOI: 10.1109/ICIAP.2001.957063
A. Maki, K. Fukui, K. Onoguchi, Ken-ichi Maeda
This paper deals with automatic identification of ships in images produced by inverse synthetic aperture radar (ISAR). The ISAR technique reconstructs a rapidly updating sequence of range-Doppler image frames of the target. Due to the physics of imaging based on the target's angular motions, however, images are invariably noisy, and not all frames contain equally useful information. The thrust of this research is to cope with these issues by introducing: (i) a multiframe algorithm to stably extract profiling as a basic feature reflecting the entire characteristics of a target; and (ii) subspace analysis for identification of the extracted profiling especially using the recently proposed constrained mutual subspace method (CMSM). Through preliminary experiments we demonstrate the effective performance of the proposed scheme.
{"title":"ISAR image analysis by subspace method: automatic extraction and identification of ship profile","authors":"A. Maki, K. Fukui, K. Onoguchi, Ken-ichi Maeda","doi":"10.1109/ICIAP.2001.957063","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957063","url":null,"abstract":"This paper deals with automatic identification of ships in images produced by inverse synthetic aperture radar (ISAR). The ISAR technique reconstructs a rapidly updating sequence of range-Doppler image frames of the target. Due to the physics of imaging based on the target's angular motions, however, images are invariably noisy, and not all frames contain equally useful information. The thrust of this research is to cope with these issues by introducing: (i) a multiframe algorithm to stably extract profiling as a basic feature reflecting the entire characteristics of a target; and (ii) subspace analysis for identification of the extracted profiling especially using the recently proposed constrained mutual subspace method (CMSM). Through preliminary experiments we demonstrate the effective performance of the proposed scheme.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132915323","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 : 2001-09-26DOI: 10.1109/ICIAP.2001.957033
O. Schreer, N. Brandenburg, P. Kauff
We present results of a comparative study of different fast disparity analysis approaches. Two of them are well known standard algorithms, while the third is a new approach based on a hybrid block- and pixel-recursive matching scheme. The key idea of the new algorithm is to choose efficiently a small number of candidate vectors in order to reduce the computational effort by simultaneously achieving spatial and temporal consistency in the resulting disparity map. The latter aspect is very important for 3D video conferencing applications, where novel views of the conferee have to be synthesised in order to provide motion parallax. For this application, processing of a video in ITU-Rec. 601 resolution is required. Our new algorithm is able to provide disparity vector fields for both directions (left/spl rarr/right and right/spl rarr/left) in real-time on one 800 MHz Pentium III in reasonable quality. The different disparity algorithms are compared with respect to reliability, quality of the resulting disparities and speed of the algorithm.
{"title":"Real-time disparity analysis for applications in immersive teleconference scenarios-a comparative study","authors":"O. Schreer, N. Brandenburg, P. Kauff","doi":"10.1109/ICIAP.2001.957033","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957033","url":null,"abstract":"We present results of a comparative study of different fast disparity analysis approaches. Two of them are well known standard algorithms, while the third is a new approach based on a hybrid block- and pixel-recursive matching scheme. The key idea of the new algorithm is to choose efficiently a small number of candidate vectors in order to reduce the computational effort by simultaneously achieving spatial and temporal consistency in the resulting disparity map. The latter aspect is very important for 3D video conferencing applications, where novel views of the conferee have to be synthesised in order to provide motion parallax. For this application, processing of a video in ITU-Rec. 601 resolution is required. Our new algorithm is able to provide disparity vector fields for both directions (left/spl rarr/right and right/spl rarr/left) in real-time on one 800 MHz Pentium III in reasonable quality. The different disparity algorithms are compared with respect to reliability, quality of the resulting disparities and speed of the algorithm.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117091859","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 : 2001-09-26DOI: 10.1109/ICIAP.2001.957054
R. Manduchi, L. Matthies, F. Pollara
We describe ongoing work at JPL in two fields: autonomous navigation for terrestrial vehicles, and prioritized progressive transmission for deep space communications. While such applications may seem rather disparate, they have in common the need for autonomous reasoning about visual information. We first review a number of techniques currently under development that make use of data from color and infrared cameras, multispectral sensors, and laser rangefinder for estimating properties of the terrain cover in outdoor vegetated terrain. We then discuss how onboard visual analysis mechanisms for Mars rovers can be used for prioritizing the data to be transmitted to Earth, in order to maximize the science return of a mission.
{"title":"From cross-country autonomous navigation to intelligent deep space communications: visual sensor processing at JPL","authors":"R. Manduchi, L. Matthies, F. Pollara","doi":"10.1109/ICIAP.2001.957054","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957054","url":null,"abstract":"We describe ongoing work at JPL in two fields: autonomous navigation for terrestrial vehicles, and prioritized progressive transmission for deep space communications. While such applications may seem rather disparate, they have in common the need for autonomous reasoning about visual information. We first review a number of techniques currently under development that make use of data from color and infrared cameras, multispectral sensors, and laser rangefinder for estimating properties of the terrain cover in outdoor vegetated terrain. We then discuss how onboard visual analysis mechanisms for Mars rovers can be used for prioritizing the data to be transmitted to Earth, in order to maximize the science return of a mission.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116872738","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 : 2001-09-26DOI: 10.1109/ICIAP.2001.957025
Koji Uda, N. Tagawa, A. Minagawa, T. Moriya
Speech recognition using image information is worthy of remark as one of the next generation of man machine interfaces (MMIs). Several methods that use either voice information or voice information and image information for recognizing words, context and speech have been proposed. Compared to methods that use only voice information, the benefit of using image information is that it is not affected by unwanted sound noise, and so it is applicable in several different environments. However, in general, several constraints are required to capture an image, for example, camera position and the relationship between camera and face. We investigated the effectiveness of using three-dimensional image information for word recognition and found that these constraints are removed. To confirm the effectiveness of the proposed method, the characteristics of two- and three-dimensional images were compared. The results of the word recognition experiment show that the recognition rate for three-dimensional characteristics is higher than that for two-dimensional characteristics.
{"title":"Effectiveness evaluation of word characteristics obtained from 3D image information for lipreading","authors":"Koji Uda, N. Tagawa, A. Minagawa, T. Moriya","doi":"10.1109/ICIAP.2001.957025","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957025","url":null,"abstract":"Speech recognition using image information is worthy of remark as one of the next generation of man machine interfaces (MMIs). Several methods that use either voice information or voice information and image information for recognizing words, context and speech have been proposed. Compared to methods that use only voice information, the benefit of using image information is that it is not affected by unwanted sound noise, and so it is applicable in several different environments. However, in general, several constraints are required to capture an image, for example, camera position and the relationship between camera and face. We investigated the effectiveness of using three-dimensional image information for word recognition and found that these constraints are removed. To confirm the effectiveness of the proposed method, the characteristics of two- and three-dimensional images were compared. The results of the word recognition experiment show that the recognition rate for three-dimensional characteristics is higher than that for two-dimensional characteristics.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125363114","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}
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