Department of Computer Science at UH

University of Houston

Department of Computer Science

In Partial Fulfillment of the Requirements for the Degree of
Master of Science

Sandeep V Belure

Will defend his thesis

Combining Local Descriptors And Using LSH
For Efficient Image Retrieval


Content based image retrieval involves the processes of querying and retrieving images from an image database using the image feature descriptors rather than its corresponding text annotations. Different descriptors such as MSER and DAISY have been shown to have different strengths in identifying images. We study some of these descriptors and using SURF and DAISY, we show that a combination of such descriptors perform better object recognition and classification than individual descriptors. Also, we concentrate on studying data structures that are most suitable to store and quickly retrieve such image features of very high dimensions. Since we are only concerned with the approximate nearest neighbor query problem, we implement the "Location Sensitive Hashing" ( LSH ) technique and the approximate kd-tree technique over SURF and DAISY descriptors combination and try to improve our query response time with very little loss in accuracy. We then show how our robust model can b e deployed on parallel and distributed environments, for batch processing of image queries.

Date: Monday, May 2, 2011
Time: 1:00 PM
Place: 550-PGH
Faculty, students, and the general public are invited.
Advisor: Dr. Shishir Shah