发布求助
文献互助 智能选刊 最新文献

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003最新文献

筛选
英文 中文
Real-time generation and high-fidelity visualization of 3D video 三维视频的实时生成和高保真可视化
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238154
T. Matsuyama, X. Wu, T. Takai
{"title":"Real-time generation and high-fidelity visualization of 3D video","authors":"T. Matsuyama, X. Wu, T. Takai","doi":"10.1109/ICCIMA.2003.1238154","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238154","url":null,"abstract":"3D video is the ultimate image medium recording dynamic visual events in the real world as is. Recorded object behaviors can be observed from any viewpoint, because 3D video records the object's full 3D shape, motion, and precise surface properties (i.e. color and texture). This paper first describes a parallel pipeline processing method for real-time reconstructing dynamic 3D object shape from multi-view video images. Performance evaluation are given to demonstrate its effectiveness. Then, we present an algorithm of generating video texture on the reconstructed dynamic 3D object surfaces from the multi-view video images. Experimental results demonstrate its effectiveness in generating high fidelity object images from arbitrary viewpoints.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121068619","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: 15
Chinese Web page classification based on self-organizing mapping neural networks 基于自组织映射神经网络的中文网页分类
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238107
Jiu-zhen Liang
{"title":"Chinese Web page classification based on self-organizing mapping neural networks","authors":"Jiu-zhen Liang","doi":"10.1109/ICCIMA.2003.1238107","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238107","url":null,"abstract":"This paper deals with self-organizing mapping (SOM) neural network's topology and learning algorithm, and the application in the automatic classification of Chinese Web pages. SOM neural network has the advantages of simple structure, ordered mapping topology and low complexity of learning. It is suitable for many complex problems such as multi-class pattern recognition, high dimension input vector and large quantity of training data. The accuracy of clustering can be improved when combining SOM's unsupervised learning algorithm with LVQ learning algorithm. At the end of the paper, it is proposed the classification result of SOM neural network applied in the 5087 html pages of People's Daily Web edition, with the average precision 90.08% and the average recall 89.85%.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130637546","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
A modified fuzzy c-means algorithm for segmentation of MRI 一种改进的模糊c均值算法用于MRI图像分割
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238157
Yongqiang Zhao, Minglu Li
{"title":"A modified fuzzy c-means algorithm for segmentation of MRI","authors":"Yongqiang Zhao, Minglu Li","doi":"10.1109/ICCIMA.2003.1238157","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238157","url":null,"abstract":"In this paper, we present a novel algorithm for fuzzy segmentation of the osteosarcoma magnetic resonance imaging (MRI) data and estimation of intensity inhomogeneties. The algorithm is formulated by modifying the objective function in the fuzzy c-means (FCM) algorithm to compensate for such inhomogeneities. Our experiments demonstrate the effectiveness of the method.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125856320","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: 24
An overview of medical image registration 医学图像配准概述
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238156
Wan Rui, L. Minglu
{"title":"An overview of medical image registration","authors":"Wan Rui, L. Minglu","doi":"10.1109/ICCIMA.2003.1238156","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238156","url":null,"abstract":"This paper presents an overview of existing medical image registration, including the classification of registration as well as registration methods. We pay an emphasis on the new techniques, such as mutual information methods, wavelet-based methods and neural network methods, etc.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114393309","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: 42
A texture extraction technique using 2D-DFT and Hamming distance 基于2D-DFT和汉明距离的纹理提取技术
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238111
Yu Tao, V. Muthukkumarasamy, B. Verma, M. Blumenstein
{"title":"A texture extraction technique using 2D-DFT and Hamming distance","authors":"Yu Tao, V. Muthukkumarasamy, B. Verma, M. Blumenstein","doi":"10.1109/ICCIMA.2003.1238111","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238111","url":null,"abstract":"Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, it is important to develop significant features for texture. This paper presents a novel technique for texture extraction and classification. The proposed feature extraction technique uses 2D-DFT transformation. A combination of this technique and a Hamming Distance based neural network for classification of extracted features is investigated. The experimental results on a benchmark database and detailed analysis are presented.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131754251","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: 23
An effective image halftoning and inverse halftoning technique based on HVS 一种有效的基于HVS的图像半调和反半调技术
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238166
Zhang Xiaohua, Liu Fang, Jiao Licheng
{"title":"An effective image halftoning and inverse halftoning technique based on HVS","authors":"Zhang Xiaohua, Liu Fang, Jiao Licheng","doi":"10.1109/ICCIMA.2003.1238166","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238166","url":null,"abstract":"In this paper we propose an effective image halftone and inverse technique based on HVS function. First, a new quantity PPSNR is defined to measure the difference between new image and the original image, at the same time new error diffusion coefficients are constructed to give a halftone image with better texture, contrast, last a new low pass filter is constructed to inverse the halftone with a higher PSNR and PPSNR. The proposed algorithm is significantly simpler than most existing algorithms. We also present experiment result to demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128066057","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: 5
Intelligent target recognition based on hybrid support vector machine 基于混合支持向量机的智能目标识别
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238094
Ding Ai-ling, Liu Fang, Jiao Li-cheng
{"title":"Intelligent target recognition based on hybrid support vector machine","authors":"Ding Ai-ling, Liu Fang, Jiao Li-cheng","doi":"10.1109/ICCIMA.2003.1238094","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238094","url":null,"abstract":"In this paper we presented a new method of adaptive projective algorithm to improve the speed of SVM classifier. The idea is to pre-extract support vector from training pattern, so that the classification speed is increased with the same performance. Besides this method, the modifying kernel function method is used to achieve high precision approximation. Therefore a novel hybrid support vector machine based on adaptive projective algorithm and modifying kernel functions method for the intelligent target recognition can increase the generalization ability and the speed. It is shown that the radar target data can be classified, and consequently the separability between classes is increased and speed is well improved with this hybrid support vector machine.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114500663","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 blind watermarking of vector graphics images 矢量图形图像的盲水印
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238163
Yuanyuan Li, Lu-ping Xu
{"title":"A blind watermarking of vector graphics images","authors":"Yuanyuan Li, Lu-ping Xu","doi":"10.1109/ICCIMA.2003.1238163","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238163","url":null,"abstract":"A blind algorithm for watermarking of vector map is presented in this paper. Only the magnitude of the DWT coefficients of vertices extracted from the map is altered to embed the watermark. Watermark can be extracted without original image because the embedding procedure is based on the relationship between the watermark value and the DWT coefficients. Experiment results show that this algorithm is robust to some image processing operations.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116714735","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: 39
A new method of SAR image segmentation based on neural network 基于神经网络的SAR图像分割新方法
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238116
Xu Xiaorong, Zhang Yanning, Z. Rongchun, Duan Feng, Chenchen Yi
{"title":"A new method of SAR image segmentation based on neural network","authors":"Xu Xiaorong, Zhang Yanning, Z. Rongchun, Duan Feng, Chenchen Yi","doi":"10.1109/ICCIMA.2003.1238116","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238116","url":null,"abstract":"For the speckle consisted in SAR image, SR image cannot be segmented efficiently with traditional methods. In this paper, according to the features of SAR image and ANN, the automatic clustering method based on competitive Hopfield NN is used o segment SAR image. With experiment, it is proved that a good result can be gotten with the method proposed in the paper, and at the same time, the speckle in the SAR image is also reduced greatly.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116114097","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 model of Web oriented intelligent tutoring system for distance education 面向Web的远程教育智能辅导系统模型
Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238104
Zhang Yong, Li Zhijing
{"title":"A model of Web oriented intelligent tutoring system for distance education","authors":"Zhang Yong, Li Zhijing","doi":"10.1109/ICCIMA.2003.1238104","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238104","url":null,"abstract":"Distance education delivery systems enable students to use tutoring resources anytime and anywhere. Among various possibilities for implementing distance education delivery computer supported ones are nowadays the most popular. In this paper a general-purpose modal of Web oriented intelligent tutoring systems (ITSs) is proposed, which is based on Internet/intranet. The tutoring model, course model, student model and individualized strategy are introduced in detail. Compared with typical ITSs models, the new model is easy to implement and suitable for distance education.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"53 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127064494","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: 15
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