Presentation is loading. Please wait.

Presentation is loading. Please wait.

Geospatial Content-Based Image Retrieval Viewing Interface MENTORS: Dr. Chi-Ren Shyu Matt Klaric BY: Abdulmajed Al-Meshaal Neil Timmerman.

Similar presentations


Presentation on theme: "Geospatial Content-Based Image Retrieval Viewing Interface MENTORS: Dr. Chi-Ren Shyu Matt Klaric BY: Abdulmajed Al-Meshaal Neil Timmerman."— Presentation transcript:

1 Geospatial Content-Based Image Retrieval Viewing Interface MENTORS: Dr. Chi-Ren Shyu Matt Klaric BY: Abdulmajed Al-Meshaal Neil Timmerman

2 Topics of Discussion  Introduction  Old System  Goals  Advantages  The new system  Alternative Solutions  DEMONSTRATION  Conclusions

3 Introduction  geospatial data: research has been focusing on geospatial data and advanced software to improve computer imaging and mapping of target areas  to try to improve the existing user interface of the geospatial content based image retrieval system developed by Dr. Shyu and Dr.Palaniappan  The system users: Department of Defense, construction firms, city planners, and researchers

4 Introduction (Cont.)  Geospatial Content Based Image Retrieval (CBIR) system  Be used to query databases of images without any corresponding textual information describing the photographs at all.  Many CBIR systems utilize multiple “ channels ” of the same images to improve the results.

5 Old System

6 Goals  Implement a user interface to the geospatial CBIR system that complements the CBIR software and database using IIP-Image  Improve user’s interface: allowing the users to use the mouse directly on the photo and scroll around allowing them to view several tiles partially in any ratio of one tile and corresponding tiles that they desire  operates without the need for page refreshes  allows users to pull up a photograph based on its longitude and latitude

7 Advantages  improved, smoother, and more professional user interface to the geospatial CBIR.  users to operate the same photo and to focus on sections they like  save time and improve computer performance.  viewer will be able to view small parts either individually or in clusters as they choose and can at any time zoom in or out of the photo without losing the image quality

8 System Diagram

9 IIPImage Client Side Interface

10 Alternative Solutions  To leave the CGI server as is and focus on implementing all of our additional functionalities in the Java Applet itself.  Modify he CGI server instead of modifying the JAVA applet. The CGI Sever contains several thousand lines of code and will require much more research in order to effectively understand the correct way to modify the code for our purposes

11 DEMONSTRATION

12 Future Work  Creating and Implementing an algorithm that determines a zoom level, or how much area to show in the screen based upon the users latitude/longitude accuracy. In other words, if the user types in 157.8559, then this method would return an appropriate x/y area, or perhaps within the Applet, a “ zoom ” level that automatically returns a standard area.  A way to scroll over to existing adjacent images. As it is now, you can scroll all over the currently loaded tiff, and it even cache ’ s previously viewed tiles, but it only plays within the boundaries of the one tiff. We would like it to check the CGI server for adjacent images, and load them as well in addition, for complete continuous scrolling.

13 Future Work (Cont.)  Since the whole point of this interface is for a Content Based Image Retrieval System, obviously we ’ d like to implement a way for the user to be able to click on a tile, and query the CBR database for matches. We would want to show those matches in a simple HTML page and allow the user to click on query result images and load them into the IIPImage Applet interface, or perhaps pop a new browser view with the IIPImage Applet and the selected image.

14 Conclusions:  More time is need when your working with open source software that has no documentation at all!  The IIPImage software was not designed to switch images and adding that ability was like trying to hold it all together with chewing gum and hair ties. In other words, a ground up redesign, with that functionality in mind from the beginning would be much more optimal.  The IIPImage softwares scrolling and Applet interface serves as a good starting point for a prototype, however, modifying it ’ s undocumented thousands of lines of code without breaking it is nearly impossible.  After much frustration, it is clear IIPImage will not be the solution to this set of requirements.

15 MANY THANKS TO We would like to thank Matt Klaric For helping us in this project

16 QUESTIONS?


Download ppt "Geospatial Content-Based Image Retrieval Viewing Interface MENTORS: Dr. Chi-Ren Shyu Matt Klaric BY: Abdulmajed Al-Meshaal Neil Timmerman."

Similar presentations


Ads by Google