Pedro M. Calixto George Chang, Ph.D. Math and Computer Science Dept. The Design and Analysis of a Web-based Large Scientific Image Retrieval System Pedro M. Calixto George Chang, Ph.D. Math and Computer Science Dept.

Table of contents Rationale Background Methods and System Design Performance Benchmark Future Work

Rationale Investigate the limitations and constraints of working with large images and develop a web-based solution for it. Provide real time image interaction over the internet.

Background Constraints Low bandwidth (specially in mobile devices) Size of images slow down transmission as they become larger Solutions Progressive transmission of image On-demand delivery of specified image section

Method and System Design On-demand delivery of specified region of interest Drag and select region of interest Caching algorithm Approximate matches

Performance benchmark

Performance benchmark

Future Work Combine our solution with various other techniques to improve image retrieval time. Integrate and port image database application to the new hardware. Utilize developed software as a component of an application with bigger scope.

Paper Accepted for Publication The result is included in a paper entitled “Components for Building Desktop-Application-like Interface in Web Applications” Submitted to APWEB 05 Mar.29-Apr 1. Accepted as a one of the 72 regular/full papers out of 420 submissions (acceptance rate of 17%) for presentation at the conference and for inclusion in the proceedings.

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