Perceptual Vector Quantization of Binary Images for Content Based Image Retrieval

Rishi Mukhopadhyay and Ishwar K. Sethi

Intelligent Information Engineering Laboratory

Department of Computer Science and Engineering

This summerís research was an extension of the work done in conjunction with Aiyesha Ma last year through the Uncore program (last year).This yearís work will be extending that work to demonstrate the viability of using the shape descriptors we developed in pattern recognition tasks and more specifically in content-based image retrieval.Additionally, I will have to work further with last yearís methods to refine the technique, increase robustness to noise and address reviewer comments.

Last yearís work was accepted for presentation at the International Knowledge Engineering conference in Las Vegas, June 23rd-26th.

Rishi Mukhopadhyay:

Rishi Mukhopadhyay just completed his second year of studies in Computer Science at the Engineering school in Cornell University.His non-academic interests include film, reading, driving aimlessly and other explorations of cyclic futility, graduating on time, and long moonlit walks on the beach.