Browsing and placement of multiresolution images on secondary storage

Sunil Prabhakar, Divyakant Agrawal, Amr El Abbadi, Ambuj Singh, Terence R. Smith

Research output: Contribution to conferencePaper

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.

Original languageEnglish
Pages636-637
Number of pages2
Publication statusPublished - 1 Jan 1997
EventProceedings of the 1997 IEEE International Conference on Multimedia Computing and Systems, ICMCS - Ottawa, Ont, Can
Duration: 3 Jun 19976 Jun 1997

Other

OtherProceedings of the 1997 IEEE International Conference on Multimedia Computing and Systems, ICMCS
CityOttawa, Ont, Can
Period3/6/976/6/97

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ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Prabhakar, S., Agrawal, D., Abbadi, A. E., Singh, A., & Smith, T. R. (1997). Browsing and placement of multiresolution images on secondary storage. 636-637. Paper presented at Proceedings of the 1997 IEEE International Conference on Multimedia Computing and Systems, ICMCS, Ottawa, Ont, Can, .