11.30.06: Yong Zhang successfully defended his Ph.D. Thesis.
10.31.06: Yunfei Zheng won the second place in the Best Student Paper Contest at Asilomar Conference.
Given the prevalence of multimedia data in modern daily activities, the representation and analysis of images and video have become an important problem in various areas of human endeavor. Applications are diverse and varied, from how we improve the visual quality of the pictures we scan at our familiar grocery store, to how we send such pictures to our friend over the Internet using our cell phone, to how we analyze medical images, such as those of the brain or the retina, to determine the incidence of a certain disease.
At the VIP, we are interested in problems related to video processing, image processing, computer vision and their applications. Current topics include video coding (statistical modeling for natural video, error-resilient video coding), image analysis (image demosaicing, edge-directed interpolation, super-resolution, lossless image compression), analysis of medical images (MRI and ocular fundus images), biometrics (face recognition, non-ideal iris recognition, video-based biometrics), computer vision (color texture analysis, illumination invariance, pedestrian detection and tracking).
Current and past projects at the VIP Lab have been supported by grants from funding sources, such as NSF ITR, and WV RGI. NSF CITeR grants.