Visual Communications Lab

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Latest Publications

	Rouse, Hemami, "The Role of Edge Information to Estimate the Perceived Utility of Natural Images," Western New York Image Processing Workshop (WNYIP), September 2009.
	Ciaramello, Vanam, Hemami, Riskin, Ladner, "Joint Rate-Intelligibility-Complexity Optimization of an H.264 Video Encoder for American Sign Language," Western New York Image Processing Workshop (WNYIP), September 2009..

Latest News

Best Student Paper Awards at Western New York Image Processing Workshop (WNYIP).
For three of the past four years, VCL students have been awarded the best student paper at WNYIP. In 2009, Frank Ciaramello and co-author Rahul Vanam won for their paper "Joint Rate-Intelligibility-Complexity Optimization of an H.264 Video Encoder for American Sign Language." In 2007, Frank Ciaramello won for his paper "Complexity Constrained Rate-Distortion Optimization of Sign Language Video Using an Objective Intelligibility Metric." In 2006, David Rouse won for his paper "Quantifying the Use of Structure in Cognition."

The Visual Communication Lab Image Coder (VCL Coder) offers significant improvements in compression performance over JPEG-2000! See some sample images and bit-rate savings.

Welcome to the VCL

This is Cornell University's research group for the study of visual communications, and is under the direction of Prof. Sheila Hemami.

Primary funding is provided by the Department of Energy, the National Science Foundation, and by Eastman Kodak Company.

Welcome to the Cornell Visual Communications Lab

The primary objective of our research is to enable high-quality, reliable visual communications for all users. All users, regardless of their individual network connection bandwidths, qualities-of-service, or terminal capabilities, should have the ability to access still images, video clips, and multimedia information services, and to use interactive visual communications services.

Specific research topics include motion estimation and compensation for video coding, psychovisually-based image processing and compression, and error-resilient coding for transmission applications. More details on our research are available from our publications.

Photos of the lab are here!