This subgroup focuses on semantic reasoning of images taken in various circumstances. Our research is to judge the contents of images and perform image retrieval, multi-view recognition, and image segmentation.
See DetailsThis subgroup mainly focuses on research related to visual quality, such as image (video) quality assessment in HD (Ultra-HD) and 3D contents. The research topics are closely related to the visual quality indices (VQI) applied in HEVC coding, 2D-3D conversion, and depth-based image rendering.
See DetailsThe research of this subgroup is related to recognition and classification over biometrics, graphics, and compound images. There are five key topics: age group classification, facial recognition, latent fingerprint identification, 3-D mesh recognition, and text detection in compound images.
See DetailsThis subgroup applies signal processing and machine learning techniques to aerospace, biomedical, multimedia, data storage, social networking, and telecommunication fields.
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