The Video Computing Group at the University of California, Riverside conducts research on the foundations and applications of computer vision, image processing, and statistical learning from images/videos.

Principal Investigator: Amit K. Roy-Chowdhury

Current projects are related to camera networks, event recognition and prediction, visual learning with limited supervision, resource-constrained visual analysis, integrated sensing and navigation, and bio-image analysis. The work provides the scientific underpinnings behind applications in cyber-physical, autonomous and intelligent systems. Members of the group regularly publish in top-tier conferences and journals in computer vision and image processing. Past members work in major research labs and hold faculty positions across the world.

Open Positions

The Video Computing Group is looking for highly motivated and talented graduate and undergraduate students. If interested, please check herefor more details.


Recent News

Papers in Top Multimedia Conference

NSF Grant on Scientific Image Analysis

NSF Grant on Scientific Image Analysis

Two papers in top multimedia conferences

NSF Grant in Smart and Autonomous Systems

NSF Grant in Smart and Autonomous Systems

Diversity-Aware Multi-Video Summarization

Diversity-Aware Multi-Video Summarization

Camera Network Video Summarization

Camera Network Video Summarization

Distributed Tracking and Data Association

Distributed Tracking and Data Association

Network Consistent Data Association

Network Consistent Data Association

Acknowledgements

The Video Computing Group graciously acknowledges the funding received from a number of government agencies and private corporations.

NSF