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Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)最新文献

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A novel digital image hiding technology based on tangram and Conways' game 一种新的基于七巧板和康威游戏的数字图像隐藏技术
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.901030
Wei Ding, W. Yan, Dongxu Qi
{"title":"A novel digital image hiding technology based on tangram and Conways' game","authors":"Wei Ding, W. Yan, Dongxu Qi","doi":"10.1109/ICIP.2000.901030","DOIUrl":"https://doi.org/10.1109/ICIP.2000.901030","url":null,"abstract":"We present a novel technology which could hide digital image information based on tangram and Conways' game. For explaining the scheme, we firstly discuss the old tangram puzzle and present how to transform between two different images. Then based on Conway' game, we present a scrambling technique which helps to hide the transform information. The advantage of this method is its security.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115346657","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: 11
Maximum likelihood training of the embedded HMM for face detection and recognition 用于人脸检测和识别的嵌入式HMM的最大似然训练
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.900885
A. Nefian, M. Hayes
{"title":"Maximum likelihood training of the embedded HMM for face detection and recognition","authors":"A. Nefian, M. Hayes","doi":"10.1109/ICIP.2000.900885","DOIUrl":"https://doi.org/10.1109/ICIP.2000.900885","url":null,"abstract":"The embedded hidden Markov model (HMM) is a statistical model that can be used in many pattern recognition and computer vision applications. This model inherits the partial size invariance of the standard HMM, and, due to its pseudo two-dimensional structure, is able to model two-dimensional data such as images, better than the standard HMM. We describe the maximum likelihood training for the continuous mixture embedded HMM and present the performance of this model for face detection and recognition. The experimental results are compared with other approaches to face detection and recognition.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124168814","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: 121
Partitioning of video objects into temporal segments using local motion information 利用局部运动信息将视频对象划分为时间段
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.899613
B. Erol, F. Kossentini
{"title":"Partitioning of video objects into temporal segments using local motion information","authors":"B. Erol, F. Kossentini","doi":"10.1109/ICIP.2000.899613","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899613","url":null,"abstract":"We propose an algorithm to partition MPEG-4 video objects into temporal segments with uniform activity levels. These segments can be used for efficient summarization of video objects and/or retrieval of video objects by their motion. The proposed algorithm is based on the shape and texture coding modes of inter coded video object planes. Because the employed filtering techniques are simple and full decoding of the MPEG-4 bitstream is not required, the algorithm is computationally efficient.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114469056","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
Generalized neural trees for outdoor scene understanding 用于室外场景理解的广义神经树
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.899384
G. Foresti, Walter Vanzella
{"title":"Generalized neural trees for outdoor scene understanding","authors":"G. Foresti, Walter Vanzella","doi":"10.1109/ICIP.2000.899384","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899384","url":null,"abstract":"A new model of a neural tree, called generalized neural tree (GNT), is presented. In the GNT learning process, the whole tree structure is considered at each learning step, and the entire training set is used to update each node. The main novelty of the proposed approach is that the output obtained when a pattern is presented to the network has a probabilistic interpretation. Experimental tests have been performed by applying the GNT in the context of a visual-based surveillance system for outdoor scenes. In particular, objects moving in the observed scene are firstly classified into 5 different categories. Then, the trajectory of such objects, together with the class information is provided to a second GNT which gives a final interpretation of the scene in terms of presence of dangerous situations.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114643341","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
Analysis of color images of tissues derived from patients with adenocarcinoma of the lung 肺腺癌患者组织的彩色图像分析
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.900927
M. Sammouda, N. Niki, T. Niki, N. Yamaguchi
{"title":"Analysis of color images of tissues derived from patients with adenocarcinoma of the lung","authors":"M. Sammouda, N. Niki, T. Niki, N. Yamaguchi","doi":"10.1109/ICIP.2000.900927","DOIUrl":"https://doi.org/10.1109/ICIP.2000.900927","url":null,"abstract":"This paper presents a method for automatic segmentation of lung tissue with color images to develop an efficient aided diagnosis system for adenocarcinoma of the lung based on the Hopfield neural network (HNN). The segmentation problem is formulated as minimization of an energy function synonymous to that of HNN for optimization. We modify the HNN to reach a status close to the global minimum in a prespecified time of convergence. The energy function is constructed with two terms, the cost-term as a sum of squared errors and the second term a temporary noise added to the network as an excitation to escape certain local minima to be close to the global minimum. Each lung color image is represented in RGB and HSV color spaces and the segmentation results are comparatively presented. Furthermore, the nuclei are automatically extracted based on the features of the color image histogram. The nuclei are the most component in the lung tissue.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116919682","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: 7
Image denoising using directional filter banks 使用方向滤波器组进行图像去噪
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.899357
J. Rosiles, M.J.T. Smith
{"title":"Image denoising using directional filter banks","authors":"J. Rosiles, M.J.T. Smith","doi":"10.1109/ICIP.2000.899357","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899357","url":null,"abstract":"The use of wavelet thresholding has been investigated with much success in the areas of denoising, density estimation, image restoration, etc. Significant attention has been given to wavelet thresholding as a signal denoising technique. The algorithm is simple and provides good results. The 2-D discrete wavelet transform (DWT) and its relatives have been used to generalize the denoising methods to images. However the DWT is limited in its representation of directional information like edges and some types of texture. We propose the use of a directional filter bank for image denoising under the same premise as wavelet thresholding: small magnitude subband coefficients represent noise and can be replaced with zeros while large coefficients reflect, in our case, strong signal content in a given direction. We show that the directional filter bank is capable of preserving edge information better than DWT based techniques while effectively removing noise. The proposed technique provides sharp images with higher perceptual quality.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123957378","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: 25
On digital image watermarking robust to geometric transformations 数字图像水印对几何变换的鲁棒性研究
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.899548
V. Licks, R. Jordan
{"title":"On digital image watermarking robust to geometric transformations","authors":"V. Licks, R. Jordan","doi":"10.1109/ICIP.2000.899548","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899548","url":null,"abstract":"A digital image watermarking system that takes advantage of the discrete Fourier transform properties to embed a spread spectrum watermark in an image is presented in this paper. Watermark robustness to translation, rotation and scaling attacks is achieved with the proposed system. A description of the method is included and results are presented.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125877667","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: 61
Watermarking based on duality with distributed source coding and robust optimization principles 基于对偶的分布式源编码和鲁棒优化原理的水印
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.901026
J. Chou, S. Pradhan, L. Ghaoui, K. Ramchandran
{"title":"Watermarking based on duality with distributed source coding and robust optimization principles","authors":"J. Chou, S. Pradhan, L. Ghaoui, K. Ramchandran","doi":"10.1109/ICIP.2000.901026","DOIUrl":"https://doi.org/10.1109/ICIP.2000.901026","url":null,"abstract":"Inspired by a previously proposed constructive framework for the distributed source coding problem. We propose a powerful constructive approach to the watermarking problem, emphasizing the dual rules of distributed source coding with side information at the decoder and channel coding with side information at the encoder. In our framework, we explore various source and channel codes to close the gap on the achievable capacity of watermarking systems. We propose two methods of solution, one which is based on optimal rate-distortion quantizers and the other based on robust optimization and convex programming. The resulting watermarking schemes, when subjected to additive white gaussian noise (AWGN) attacks, achieve results which are comparable to or better than the best watermarking schemes in the literature.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125941670","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
Colorimetric characterisation of low-end digital camera and its application for on-screen texture visualisation 低端数码相机的比色特性及其在屏幕纹理可视化中的应用
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.901065
G. Hong, Bing Han, M. Luo
{"title":"Colorimetric characterisation of low-end digital camera and its application for on-screen texture visualisation","authors":"G. Hong, Bing Han, M. Luo","doi":"10.1109/ICIP.2000.901065","DOIUrl":"https://doi.org/10.1109/ICIP.2000.901065","url":null,"abstract":"Along with the industrial success of precise colour communication using calibrated computer screens, images captured by digital cameras are widely used for realistic product simulation and true colour communication through the computer network. The need to simulate texture, through its precise micro-level colour variation characteristics, as opposed to simulating and presenting an overall pleasing picture of an object, cannot be over-stressed. This study compares the performance of a high-end and a low-end digital camera in terms of accuracy of colorimetric characterisation and WYSIWYG (what you see is what you get) colour texture simulation.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129464310","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
Frequency domain measurement of blockiness in MPEG-2 coded video MPEG-2编码视频中块的频域测量
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.899621
K. T. Tan, M. Ghanbari
{"title":"Frequency domain measurement of blockiness in MPEG-2 coded video","authors":"K. T. Tan, M. Ghanbari","doi":"10.1109/ICIP.2000.899621","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899621","url":null,"abstract":"Blockiness in the MPEG-2 coded pictures is due to luminance discontinuities across the DCT block boundaries. Using the Sobel operators, these discontinuities can be extracted. After segmentation into smaller blocks of pixels and Fourier transformation into the frequency domain, the blockiness will be translated into harmonics whose amplitude and phase can provide vital information for quantifying the blockiness. The amplitude of the harmonics is proportional to the degree of blockiness, while the phase of the harmonics can be used to verify that the harmonics are not due to contextual details in the picture. By examining both the amplitude and phase information of the harmonics, an accurate blockiness detector that needs no reference pictures has been devised, achieving a high correlation of 0.88 between the model prediction and the subjective data.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128205469","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: 31
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