发布求助
文献互助 智能选刊 最新文献

Proceedings 11th International Conference on Image Analysis and Processing最新文献

筛选
英文 中文
Detection of blocking artifacts of compressed still images 压缩静态图像的阻塞伪影检测
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957077
G. Triantafyllidis, D. Tzovaras, M. Strintzis
{"title":"Detection of blocking artifacts of compressed still images","authors":"G. Triantafyllidis, D. Tzovaras, M. Strintzis","doi":"10.1109/ICIAP.2001.957077","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957077","url":null,"abstract":"A novel frequency domain technique for image blocking artifact detection is presented. The algorithm detects the regions of the image which present visible blocking artifacts. This detection is performed in the frequency domain and uses the estimated relative quantization error calculated when the DCT coefficients are modeled by a Laplacian probability function. Experimental results illustrating the performance of the proposed method are presented and evaluated.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"100 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":"132102628","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}
引用次数: 4
Automatic graph extraction from color images 从彩色图像中自动提取图形
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957026
T. Lourens, HIroshi G. Okuno, H. Kitano
{"title":"Automatic graph extraction from color images","authors":"T. Lourens, HIroshi G. Okuno, H. Kitano","doi":"10.1109/ICIAP.2001.957026","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957026","url":null,"abstract":"An approach to symbolic contour extraction is described that consists of three stages: enhancement, detection, and extraction of contours and corners. Contours and corners are enhanced by models of monkey cortical complex and endstopped cells. Detection of corners and local contour maxima is performed by selection of local maxima in both contour and corner enhanced images. These maxima form the anchor points of a greedy contour following algorithm that extracts the contours. This algorithm is based on the idea of spatially linking neurons along a contour that fire in synchrony to indicate an extracted contour. The extracted contours and detected corners represent the symbolic representation of the image. The advantage of the proposed model over other models is that the same low constant thresholds for corner and local contour maxima detection are used for different images. Closed contours are guaranteed by the contour following algorithm to yield a fully symbolic representation which is more suitable for reasoning and recognition. In this respect our methodology is unique, and clearly different from the standard (edge) contour detection methods. The results of the extracted contours (when displayed as being detected) show similar or better results compared to the SUSAN and Canny-CSS detectors.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"110 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":"128021033","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}
引用次数: 2
Recognition of shape-changing hand gestures based on switching linear model 基于切换线性模型的变形手势识别
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.956979
Mun-Ho Jeong, Y. Kuno, N. Shimada, Y. Shirai
{"title":"Recognition of shape-changing hand gestures based on switching linear model","authors":"Mun-Ho Jeong, Y. Kuno, N. Shimada, Y. Shirai","doi":"10.1109/ICIAP.2001.956979","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.956979","url":null,"abstract":"We present a method to track and recognise shape-changing hand gestures simultaneously. The switching linear model using the active contour model corresponds well to temporal shapes and motions of hands. Inference in the switching linear model is computationally intractable and therefore the learning process cannot be performed via the exact EM (expectation maximization) algorithm. However, we present an approximate EM algorithm using a collapsing method in which some Gaussians are merged into a single Gaussian. Tracking is performed through the forward algorithm based on Kalman filtering and the collapsing method. We also present the regularized smoothing, which plays a role in reducing jump changes between the training sequences of state vectors to cope with complex-variable hand shapes. The recognition process is performed by the selection of a model with the maximum likelihood from some learned models while tracking is being performed. Experiments for several shape-changing hand gestures are demonstrated.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"32 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":"134444744","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}
引用次数: 6
A modified fuzzy ART for image segmentation 一种用于图像分割的改进模糊ART
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.956992
L. Cinque, G. Foresti, A. Gumina, S. Levialdi
{"title":"A modified fuzzy ART for image segmentation","authors":"L. Cinque, G. Foresti, A. Gumina, S. Levialdi","doi":"10.1109/ICIAP.2001.956992","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.956992","url":null,"abstract":"This paper presents a clustering approach for image segmentation based on a modified fuzzy ART model. The goal of the proposed approach is to find a simple model able to instance a prototype for each cluster in order to avoid complex post-processing phases. Some results and comparisons with other models present in the literature, like SOM and original fuzzy ART are presented. Qualitative and quantitative evaluations confirm the validity of our approach.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"30 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":"130597343","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}
引用次数: 9
Using feature-vector based analysis, based on principal component analysis and independent component analysis, for analysing hyperspectral images 采用基于特征向量的分析方法，基于主成分分析和独立成分分析，对高光谱图像进行分析
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957027
H. Muhammed, P. Ammenberg, E. Bengtsson
{"title":"Using feature-vector based analysis, based on principal component analysis and independent component analysis, for analysing hyperspectral images","authors":"H. Muhammed, P. Ammenberg, E. Bengtsson","doi":"10.1109/ICIAP.2001.957027","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957027","url":null,"abstract":"A pixel in a hyperspectral image can be considered as a mixture of the reflectance spectra of several substances. The mixture coefficients correspond to the (relative) amounts of these substances. The benefit of hyperspectral imagery is that many different substances can be characterised and recognised by their spectral signatures. Independent component analysis (ICA) can be used for the blind separation of mixed statistically independent signals. Principal component analysis (PCA) also gives interesting results. The next step is to interpret and use the ICA or PCA results efficiently. This can be achieved by using a new technique called feature-vector based analysis (FVBA), which produces a number of component-feature vector pairs. The obtained feature vectors and the corresponding components represent, in this case, the spectral signatures and the corresponding image weight coefficients (the relative concentration maps) of the different constituting substances.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"4 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":"115338645","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}
引用次数: 14
Quantitative assessment of qualitative color perception in image database retrieval 图像数据库检索中定性色彩感知的定量评价
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957044
M. Albanesi, S. Bandelli, Marco Ferretti
{"title":"Quantitative assessment of qualitative color perception in image database retrieval","authors":"M. Albanesi, S. Bandelli, Marco Ferretti","doi":"10.1109/ICIAP.2001.957044","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957044","url":null,"abstract":"We propose a multiresolution indexing algorithm based on color histogram which exploits the wavelet decomposition and a customized quantization for content-based image retrieval. The aim is to extract automatically the chromatic content of the images and to represent it with simple, robust, efficient and low computational cost descriptors. The proposed method has been integrated for a complete CBIR system, where the classification of images is performed on a qualitative subjective color perception. The system allows testing the semantic and chromatic class homogeneity previously defined by a human observer. Experimental results have been evaluated by the quantitative assessment parameters (averaged precision and recall). Multiresolution proved to be a valid framework to introduce spatiality in color histogram indexing, to dramatically decrease the computational complexity and to validate the qualitative subjective classification.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"79 2 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":"115658683","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}
引用次数: 12
Feature based merging of application specific regions 基于特性的应用程序特定区域合并
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.956985
A. Rydberg, G. Borgefors
{"title":"Feature based merging of application specific regions","authors":"A. Rydberg, G. Borgefors","doi":"10.1109/ICIAP.2001.956985","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.956985","url":null,"abstract":"Over-segmentation is a common problem for all kinds of segmentation tasks. Automated segmentation of natural scenes is no exception. This paper proposes a solution to the over-segmentation problem, with the emphasis on satellite images of farmland. In many cases, an agricultural field can be considered as a flat region having a rather large area, a compact shape, and straight region boundaries because it is a man-made object. Our approach for dividing farmland into individual field units uses region shape, as well as spectral information, when merging over-segmented regions. The results from the presented method are compared to two different methods of segmentation as well as interpreted field boundaries. The results show that task-specific knowledge adds important information to the decision step for the merging procedure of regions. About 70% of the edges are classified within one pixel away from the ground truth edges using our methods.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"60 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":"124435777","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}
引用次数: 1
Knowledge based reconstruction of buildings 基于知识的建筑重建
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957056
Ildiko Suveg, G. Vosselman
{"title":"Knowledge based reconstruction of buildings","authors":"Ildiko Suveg, G. Vosselman","doi":"10.1109/ICIAP.2001.957056","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957056","url":null,"abstract":"This paper presents a knowledge-based approach for automatic 3D building reconstruction. By combining the aerial image analysis with information from GIS maps and domain-specific knowledge, the complexity of the building reconstruction process can be greatly reduced. The building reconstruction process is described as a tree search in the space of possible building hypotheses. To guide the search of the tree an evaluation function based on mutual information is defined. This evaluation function allows comparison of different building hypotheses obtained by applying a fitting algorithm. The performance of the 3D reconstruction is improved by incorporating geometric constraints.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"22 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":"124891186","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}
引用次数: 3
Recognition driven burst transmissions in distributed third generation surveillance systems 分布式第三代监视系统中识别驱动的突发传输
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957057
F. Oberti, G. Ferrari, C. Regazzoni
{"title":"Recognition driven burst transmissions in distributed third generation surveillance systems","authors":"F. Oberti, G. Ferrari, C. Regazzoni","doi":"10.1109/ICIAP.2001.957057","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957057","url":null,"abstract":"A general architecture for distributed third-generation surveillance systems is discussed. In particular an approach for selecting the optimal distribution of intelligence (task allocation) is presented. The introduction of recognition tasks which can cause the interruption of the processing and transmission flow is discussed. Experimental results over a simulated system illustrate the presented approach for optimal distribution of intelligence.","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":"126006710","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}
引用次数: 2
A World Wide Web region-based image search engine 一个基于万维网区域的图像搜索引擎
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957041
Y. Kompatsiaris, Evangelia Triantafyllou, M. Strintzis
{"title":"A World Wide Web region-based image search engine","authors":"Y. Kompatsiaris, Evangelia Triantafyllou, M. Strintzis","doi":"10.1109/ICIAP.2001.957041","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957041","url":null,"abstract":"The development of an intelligent image content-based search engine for the World-Wide Web is presented. This system will offer a new form of media representation and access of content available in the WWW. Information web crawlers continuously traverse the Internet and collect images that are subsequently indexed based on integrated feature vectors. As a basis for the indexing, the K-means algorithm is used, modified so as to take into account the coherence of the regions. Based on the extracted regions, characteristic features are extracted using color texture and shape/region boundary information. These features along with additional information such as the URL location and the date of index procedure are stored in a database. The user can access and search this indexed content through the Web with an advanced and user-friendly interface. The output of the system is a set of links to the content available in the WWW, ranked according to their similarity to the image submitted by the user. Experimental results demonstrate the performance of the system.","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":"124696477","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}
引用次数: 21
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信