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

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Transmission of multiple description and layered video over an EGPRS wireless network 在EGPRS无线网络上传输多重描述和分层视频
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-12-01 DOI: 10.1109/ICIP.2000.899246
A. Reibman, Yao Wang, X. Qiu, Z. Jiang, K. Chawla
{"title":"Transmission of multiple description and layered video over an EGPRS wireless network","authors":"A. Reibman, Yao Wang, X. Qiu, Z. Jiang, K. Chawla","doi":"10.1109/ICIP.2000.899246","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899246","url":null,"abstract":"We investigate the ability of multiple descriptions (MD) and layered coding to improve the quality of video transmitted over EGPRS networks. One-layer video sent over a single channel on such a network has a fairly sharp quality transition, depending on a user's location. Either the video can be transmitted reliably (if the video rate is less than or equal to what the channel can sustain), or it is subjected to many lost packets. In this system, MD and layered video may offer two ways to improve the video quality beyond that of the one-layer video. First, each sub-stream can be sent on a separate channel, essentially doubling the assigned bandwidth and increasing the video quality. Second, MD and layered video are more error resilient than one-layer video, potentially improving the video quality seen by users in poor locations. We find that for the system scenarios considered, one and two-layer coding outperform MD coding, depending upon the number of wireless channels used for the video transport.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648271","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: 44
Image watermarking by moment invariants 基于矩不变性的图像水印
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-12-01 DOI: 10.1109/ICIP.2000.899229
M. Alghoniemy, A. Tewfik
{"title":"Image watermarking by moment invariants","authors":"M. Alghoniemy, A. Tewfik","doi":"10.1109/ICIP.2000.899229","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899229","url":null,"abstract":"We present a novel technique for watermarking digital images based on its moments. The watermark is composed of the mean of several functions of the second and third order moments designed to be invariant to scaling and orthogonal transformations this has the advantage of making the watermark image dependent. The watermarked image is a linear combination of the original image and a weighted nonlinear transformation of the original. The weight is computed such that the mean of the watermarked image invariants is a predefined number. Watermark detection is as simple as computing the moment invariants of the received image. Our approach has a guaranteed visual transparency up to a contrast modification. The proposed algorithm has proved to be highly robust to all geometric manipulations, filtering, compression and small cropping which are performed as part of StirMark attacks as well as noise addition, both Gaussian and salt and pepper.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116732483","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: 102
Active contour based rock sole recognition 基于活动轮廓的岩底识别
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-12-01 DOI: 10.1109/ICIP.2000.899811
Chung-Hui Kuo, A. Tewfik
{"title":"Active contour based rock sole recognition","authors":"Chung-Hui Kuo, A. Tewfik","doi":"10.1109/ICIP.2000.899811","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899811","url":null,"abstract":"In this paper, we describe a system for classifying rock sole fish. The contour of the fish and existence of a stripe pattern constitute two important features to distinguish between different subspecies of rock sole. The system uses a multiscale sigma filter and active contour algorithm to extract the contour of the groundfish. The extracted contour is then transformed into a one dimensional signature to serve as the first feature to differentiate the northern rock sole from the southern rock sole. Next, our system uses a pattern enhancing algorithm and transforms the extracted pattern to the spatial frequency domain to serve as the second feature. A matched subspace filter is then applied to recognize each feature. The proposed recognition system integrates the classification result from both channels. We illustrate the performance of the procedure on sample images of northern and southern rock soles.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124343711","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: 0
Simultaneous motion estimation and resolution enhancement of compressed low resolution video 压缩低分辨率视频的同步运动估计和分辨率增强
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-12-01 DOI: 10.1109/ICIP.2000.899793
J. Mateos, A. Katsaggelos, R. Molina
{"title":"Simultaneous motion estimation and resolution enhancement of compressed low resolution video","authors":"J. Mateos, A. Katsaggelos, R. Molina","doi":"10.1109/ICIP.2000.899793","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899793","url":null,"abstract":"We propose an iterative algorithm for simultaneously estimating the motion field and high resolution frames from a compressed low resolution video sequence. The algorithm exploits the existing correlation between high and low resolution frames and information provided by the encoder, such as coding modes and motion vectors (when available), to obtain a higher resolution frame. The performance of the algorithm is demonstrated experimentally.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131563153","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: 20
Copyright protection of still images using self-similar chaotic watermarks 基于自相似混沌水印的静态图像版权保护
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-12-01 DOI: 10.1109/ICIP.2000.900982
S. Tsekeridou, N. Nikolaidis, N. Sidiropoulos, I. Pitas
{"title":"Copyright protection of still images using self-similar chaotic watermarks","authors":"S. Tsekeridou, N. Nikolaidis, N. Sidiropoulos, I. Pitas","doi":"10.1109/ICIP.2000.900982","DOIUrl":"https://doi.org/10.1109/ICIP.2000.900982","url":null,"abstract":"A spatial domain watermarking algorithm for still images is proposed in this paper. The watermarks are generated by combining scaled versions of 2-D chaotic signals, in order to attain a self-similar structure. In addition, the 2-D chaotic signal generation procedure contains operations which ensure that lowpass watermarks are obtained. Such characteristics (lowpass spectrum, self-similarity) enable robustness against compression, lowpass filtering or, generally, distortions of lowpass nature, as well as, cropping and scaling. An additional advantage of the proposed algorithm is that the detection procedure does not require the original image.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128349773","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: 16
A dual-tree complex wavelet transform with improved orthogonality and symmetry properties 一种改进正交性和对称性的双树复小波变换
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-16 DOI: 10.1109/ICIP.2000.899397
N. Kingsbury
{"title":"A dual-tree complex wavelet transform with improved orthogonality and symmetry properties","authors":"N. Kingsbury","doi":"10.1109/ICIP.2000.899397","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899397","url":null,"abstract":"We present a new form of the dual-tree complex wavelet transform (DT CWT) with improved orthogonality and symmetry properties. Beyond level 1, the previous form used alternate odd-length and even-length bi-orthogonal filter pairs in the two halves of the dual-tree, whereas the new form employs a single design of even-length filter with asymmetric coefficients. These are similar to the Daubechies orthonormal filters, but designed with the additional constraint that the filter group delay should be approximately one quarter of the sample period. The filters in the two trees are just the time-reverse of each other, as are the analysis and reconstruction filters. This leads to a transform, which can use shorter filters, which is orthonormal beyond level 1, and in which the two trees are very closely matched and have a more symmetric sub-sampling structure, but which preserves the key DT CWT advantages of approximate shift-invariance and good directional selectivity in multiple dimensions.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131030113","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: 411
Image texture description using complex wavelet transform 用复小波变换描述图像纹理
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-16 DOI: 10.1109/ICIP.2000.899472
S. Hatipoglu, S. Mitra, N. Kingsbury
{"title":"Image texture description using complex wavelet transform","authors":"S. Hatipoglu, S. Mitra, N. Kingsbury","doi":"10.1109/ICIP.2000.899472","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899472","url":null,"abstract":"Texture description is important for image retrieval from various large image databases. A method for representing texture information in images utilizing dual tree complex wavelet transform (DT-CWT) is introduced. Approximate shift invariance, good directional selectivity and computational efficiency properties of DT-CWT are effective in describing texture patterns. The perfect reconstruction property of DT-CWT enables us to store the image data using DT-CWT coefficients. Experiments are performed with Brodatz (1966) texture database and nature images that have significant amount of texture information to investigate the efficiency of our texture description algorithm.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115906671","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: 32
The Laplace integral for a watershed segmentation 分水岭分割的拉普拉斯积分
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.899430
T. Blaffert, S. Dippel, M. Stahl, R. Wiemker
{"title":"The Laplace integral for a watershed segmentation","authors":"T. Blaffert, S. Dippel, M. Stahl, R. Wiemker","doi":"10.1109/ICIP.2000.899430","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899430","url":null,"abstract":"Introduces a new powerful feature for the merging and classification of regions segmented by a watershed transform. It is based on the contour integral over watershed lines, which is equivalent to the area integral of Laplace values of the enclosed region. This approach is appealing since it complements the gradient-input image for the watershed segmentation with directional information and has low computational costs. The authors also show that the area integral of a Laplace image can be used to generate a new texture measure where undesirable contributions of region boundaries are eliminated. The approach is demonstrated in segmentation of radiographic images into shutter, direct radiation, and metal implant areas.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"105 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":"115158012","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
Content authentication and tamper detection in digital video 数字视频中的内容认证与篡改检测
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.900994
B. Mobasseri, Michael J. Sieffert, R. Simard
{"title":"Content authentication and tamper detection in digital video","authors":"B. Mobasseri, Michael J. Sieffert, R. Simard","doi":"10.1109/ICIP.2000.900994","DOIUrl":"https://doi.org/10.1109/ICIP.2000.900994","url":null,"abstract":"We report on the development of a watermarking algorithm designed for video authentication and tamper detection. The objectives are to determine unauthorized cut-and-splice or cut-insert-splice operation and quantify the extent of such editing. We demonstrate that the proposed algorithm can identify cut start and duration down to single frame precision. The approach embeds a watermark with a strong timing content, violation of which can be traced back to the parameters of the editing operation.","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":"115448443","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: 52
Camera motion estimation using feature points in MPEG compressed domain 基于MPEG压缩域特征点的摄像机运动估计
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Pub Date : 2000-09-10 DOI: 10.1109/ICIP.2000.899524
P. Kuhn
{"title":"Camera motion estimation using feature points in MPEG compressed domain","authors":"P. Kuhn","doi":"10.1109/ICIP.2000.899524","DOIUrl":"https://doi.org/10.1109/ICIP.2000.899524","url":null,"abstract":"A computationally efficient camera motion estimation algorithm based on feature points derived from compressed domain is presented. The feature point selection algorithm employs the texture/edge information contained in the DCT (discrete cosine transform) coefficients and is therefore directly applicable to DCT-based compressed video (like MPEG-1/-2/-4, H.261, H.263, DV or the MJPEG format). This paper describes: (1) the extraction of the feature-points in the compressed domain, (2) the application of computationally efficient motion estimation on these feature points by taking advantage of existing motion vectors in the MPEG compressed domain, as well as (3) an application for camera motion estimation.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"133 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":"114668511","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
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