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Challenges in Image Informatics Segmentation to Steganography Dr Charles Kenney Dr Baris Sumengen Dmitry Federov Kaushal Solanki Jiyun Byun Motaz El Saban Sitaram Bhagavathy Ken Sullivan B S Manjunath Electrical and Computer Engineering Department University of California Santa Barbara manj ece ucsb edu http vision ece ucsb edu Outline Image Informatics challenges ahead Center for image informatics at UCSB Partnership with local industry leaders Vision Research Lab ECE UCSB Image Processing Computer Vision Research at VRL Image databases standards Image Segmentation Steganography Nov 23 2004 IEEE 2 Image Informatics images video are ubiquitous Many diverse applications Biology medical imaging remote sensing manufacturing security surveillance common informatics problems in processing pattern recognition and databases We plan to create a central home at UCSB for image informatics research exploit the synergy among science applications to develop robust tools and technologies Nov 23 2004 IEEE 3 ERC Center for Intelligent Image Informatics Vision Goals Manjunath UCSB Participants University of California at Santa Barbara UC Berkeley Woods Hole Oceanographic Institute Marine Science Oceanography Biological sampling Species and their habitat classification Study of pathogen transport Underwater imaging instrumentation Remote sensing Geo surveillance Manufacturing High speed nanoimaging Defect detection Object recognition Automated analysis Detecting patterns e g airfields harbo Semantic queries Information integration CI3 ERC Technology Transfer New industry opportunities Image library infrastructure Adaptive image processing methods Nanoimaging instrumentation Underwater imaging instrumentation Imaging sensor networks Biology Medicine High speed nanoimaging Cell classification Tracking dynamic structures Understanding cell birth and death fMRI brain image analysis Content based access Quantitative descriptors Nov 23 2004 Why CI3 Images everywhere diverse applications



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