Sunil Prabhakar, D. Agrawal, A. E. Abbadi, Ambuj K. Singh, Terence R. Smith
{"title":"Browsing and placement of multiresolution images on secondary storage","authors":"Sunil Prabhakar, D. Agrawal, A. E. Abbadi, Ambuj K. Singh, Terence R. Smith","doi":"10.1109/MMCS.1997.609793","DOIUrl":null,"url":null,"abstract":"Image decomposition techniques such as wavelets are used to provide multiresolution representations of images. The original image is represented by several coefficients, one of them with visual similarity to the original image, but at a lower resolution. Several strategies are evaluated to store the image coefficients on parallel disks so that thumbnail browsing as well as image reconstruction can be performed efficiently. Disk simulation and experiments with real disks are used to evaluate the performance of these strategies. The results indicate that significant performance improvements can be achieved with as few as four disks by placing image coefficients based upon browsing access patterns.","PeriodicalId":302885,"journal":{"name":"Proceedings of IEEE International Conference on Multimedia Computing and Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1997.609793","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Image decomposition techniques such as wavelets are used to provide multiresolution representations of images. The original image is represented by several coefficients, one of them with visual similarity to the original image, but at a lower resolution. Several strategies are evaluated to store the image coefficients on parallel disks so that thumbnail browsing as well as image reconstruction can be performed efficiently. Disk simulation and experiments with real disks are used to evaluate the performance of these strategies. The results indicate that significant performance improvements can be achieved with as few as four disks by placing image coefficients based upon browsing access patterns.