{"title":"Distributed compression for sensor networks","authors":"J. Kusuma, L. Doherty, K. Ramchandran","doi":"10.1109/ICIP.2001.958958","DOIUrl":"https://doi.org/10.1109/ICIP.2001.958958","url":null,"abstract":"We consider the problem of efficiently transmitting sets of spatially correlated observations in a distributed sensor network without requiring inter-node communication to exploit the correlation. Specifically, we provide a construction for quantizer design given a training set, and a distributed compression scheme to efficiently relay the quantized observations to a central decoder.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132221524","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}
{"title":"Image retrieval using multi-scale color clustering","authors":"Sehwan Kim, Woontack Woo, Yo-Sung Ho","doi":"10.1109/ICIP.2001.959133","DOIUrl":"https://doi.org/10.1109/ICIP.2001.959133","url":null,"abstract":"A fundamental issue in content-based image retrieval is how to select image features that can represent image contents appropriately. A multi-scale color clustering algorithm based on human perceptual properties of color images is proposed for image retrieval. The multi-scale clustering algorithm is an unsupervised clustering method that utilizes the perceptual uniformity property in the (p,q) color space. The proposed color clustering algorithm produces a small set of representative color vectors for each image that capture color properties of the image, and a set of correlogram values that contain the spatial information of the image.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132244117","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}
A. Yoneyama, Y. Nakajima, H. Yanagihara, M. Sugano
{"title":"An efficient transcoding from MPEG-2 to MPEG-1","authors":"A. Yoneyama, Y. Nakajima, H. Yanagihara, M. Sugano","doi":"10.1109/ICIP.2001.959042","DOIUrl":"https://doi.org/10.1109/ICIP.2001.959042","url":null,"abstract":"This paper proposes a fast and efficient transcoding algorithm from MPEG-2 video to MPEG-1 video where spatial resolution reduction is involved. We use quantization parameters along with motion information of the incoming MPEG-2 video bitstream to estimate the motion vectors for MPEG-1 transcoding without any additional motion estimation process. Since such information can be directly extracted from the original MPEG-2 video bitstream, very fast transcoding can be achieved. In addition, since the proposed method is not restricted to a specific coding structure, it can be applied to various types of GOP structures. The experimental results show that the proposed method can provide approximate motion vectors to that of full range motion estimation. therefore transcoding efficiency can be increased and picture quality is enhanced when compared with the conventional fast transcoding methods.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"610 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132315003","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}
{"title":"Image enhancement segmentation and denoising by time dependent nonlinear diffusion processes","authors":"Guy Gilboa, Y. Zeevi, N. Sochen","doi":"10.1109/ICIP.2001.958069","DOIUrl":"https://doi.org/10.1109/ICIP.2001.958069","url":null,"abstract":"Two nonlinear diffusion processes with time-dependent diffusion coefficients are presented. Both processes converge to nontrivial solutions, eliminating the need to impose an arbitrary diffusion stopping time, otherwise required in the implementation of most nonlinear diffusion processes. The two schemes employ nonlinear cooling mechanisms that preserve edges. One scheme is intended for general denoising, whereas the other is targeted for enhancement or segmentation of images. Simulation results indicate that the proposed schemes provide a stable and efficient tool for processing of noisy images.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132352628","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}
F. L. Valverde, Nicolás Guil Mata, J. Muñoz, R. Nishikawa, K. Doi
{"title":"An evaluation criterion for edge detection techniques in noisy images","authors":"F. L. Valverde, Nicolás Guil Mata, J. Muñoz, R. Nishikawa, K. Doi","doi":"10.1109/ICIP.2001.959158","DOIUrl":"https://doi.org/10.1109/ICIP.2001.959158","url":null,"abstract":"Segmentation in noisy images is an important and difficult problem in pattern recognition. Edge detection is a crucial step in this process. Current subjective and objective methods for evaluation and comparison of segmentation techniques are inadequate or not applicable to edge detection techniques. A general framework for segmentation evaluation in noisy images is introduced after a brief review of previous work. Several measures based on similarity between true and result segmented images are defined. These measures are, then, combined in a unique criterion as a proposed global measure of performance. The results indicate that this global measure can be helpful in the evaluation and comparison of segmentation techniques applied to noisy images.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132399234","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}
{"title":"A wavelet approach to double-sided document image pair processing","authors":"Ruini Cao, C. Tan, Peiyi Shen","doi":"10.1109/ICIP.2001.958079","DOIUrl":"https://doi.org/10.1109/ICIP.2001.958079","url":null,"abstract":"We present a novel method for processing double-sided historical handwritten documents using wavelets. The method is specially designed to remove interfering strokes from the reverse side due to ink seeping through pages after long periods of storage. The proposed method works by first matching both sides of a document page such that the interfering strokes are mapped with the originating strokes from the reverse side. Then with the rough identification of the foreground and the interfering strokes, a wavelet reconstruction process iteratively enhances the foreground strokes and smears the interfering strokes so as to strengthen the discriminating capability of an edge detector to extract a clear foreground image. This is an improvement of our earlier work.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132554797","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}
{"title":"Wavelet-based foveated image quality measurement for region of interest image coding","authors":"Zhou Wang, A. Bovik, Ligang Lu","doi":"10.1109/ICIP.2001.958431","DOIUrl":"https://doi.org/10.1109/ICIP.2001.958431","url":null,"abstract":"Region of interest (ROI) image and video compression techniques have been widely used in visual communication applications in an effort to deliver good quality images and videos at limited bandwidths. Most image quality metrics have been developed for uniform resolution images. These metrics are not appropriate for the assessment of ROI coded images, where space-variant resolution is necessary. The spatial resolution of the human visual system (HVS) is highest around the point of fixation and decreases rapidly with increasing eccentricity. Since the ROIs are usually the regions \"fixated\" by human eyes, the foveation property of the HVS supplies a natural approach for guiding the design of ROI image quality measurement algorithms. We have developed an objective quality metric for ROI coded images in the wavelet transform domain. This metric can serve to mediate the compression and enhancement of ROI coded images and videos. We show its effectiveness by applying it to an embedded foveated image coding system.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129999184","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}
{"title":"Complexity-adaptive search algorithm for block motion estimation","authors":"Pol-Lin Tai, Chii-Tung Liu, Jia-Shung Wang","doi":"10.1109/ICIP.2001.958657","DOIUrl":"https://doi.org/10.1109/ICIP.2001.958657","url":null,"abstract":"We propose a complexity-adaptive fast block matching algorithm design strategy that allows the user to terminate the algorithm at any target computational complexity. Two complexity-adaptive techniques, frame level complexity allocation and block level complexity allocation, are developed to approach the global complexity-distortion optimization A buffer control strategy is proposed to dynamically adjust the target complexity of one frame. The predictive complexity-distortion benefit list (PCDB list) technique is employed to allocate the target complexity into each block. By these techniques, we modify the full-search block matching, three-step search, new three-step search, and four-step search to the complexity-adaptive algorithms. Experimental results show that the complexity-adaptive algorithms could achieve better performance than traditional fixed algorithms from the viewpoint of complexity-distoftion optimization.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130116439","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}
C. Strouthopoulos, N. Papamarkos, A. Atsalakis, C. Chamzas
{"title":"Locating text in color documents","authors":"C. Strouthopoulos, N. Papamarkos, A. Atsalakis, C. Chamzas","doi":"10.1109/ICIP.2001.959233","DOIUrl":"https://doi.org/10.1109/ICIP.2001.959233","url":null,"abstract":"In complex color documents, text, drawings and graphics occur with millions of different colors. In many cases, text regions are overlaid onto drawings or graphics. A new method is proposed for the automatic detection and extraction of text in mixed type color documents. The proposed method is based on a combination of an adaptive color reduction (ACR) technique and a page layout analysis (PLA) approach. The ACR technique is used to obtain the optimal number of colors. Then, the image is split to separable binary images, each one corresponding to every principal color. The PLA technique is applied independently to each one of the color planes and identifies the text regions. A merging procedure is applied in the final stage to merge the text regions derived from the color planes and to produce the final document.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130125351","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}
S. Makrogiannis, P. Schelkens, S. Fotopoulos, J. Cornelis
{"title":"Region-oriented compression of color images using fuzzy inference and shape adaptive DCT","authors":"S. Makrogiannis, P. Schelkens, S. Fotopoulos, J. Cornelis","doi":"10.1109/ICIP.2001.958155","DOIUrl":"https://doi.org/10.1109/ICIP.2001.958155","url":null,"abstract":"A new region-based compression scheme for color images is proposed. The segmentation method belongs to the split and merge category. Splitting is carried out using the watershed transform. In the merging stage, a fuzzy color preserving rule-based system is introduced to express the dissimilarity between two regions. The compression part is based on the shape adaptive DCT with /spl Delta/DC correction method. The quantization matrices have been designed according to the properties of the used transform. This method yields promising results, mostly attributed to the efficiency of the segmentation and particularly the fuzzy dissimilarity estimation.","PeriodicalId":291827,"journal":{"name":"Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130170089","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}