“Image retrieval and analysis touch more of our everyday life than most would imagine.” “Content-based image retrieval (CBIR) is theoretically significant because it addresses a central issue in computer vision-how to decide whether two images are similar or not,” A/Prof Wang, whose research interests include machine learning, pattern recognition and computer vision, said. With the support of an Australian Research Council Discovery Grant worth $445,000 over three years, Associate Professor Lei Wang from the Faculty of Engineering and Information Sciences and the Visual Information Learning and Analysis research group (Group Leader), aims to improve the accuracy of image retrieval techniques using some innovative methods. The technology, which has many applications, is far from perfect though, particularly as the volume of visual data hosted in databases rapidly increases, making the retrieval of a specific piece of information increasingly difficult.
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