Semantic-Based Visual Information Retrieval is one of the most challenging research directions of content-based visual information retrieval. It provides efficient tools for access, interaction, searching, and retrieving from collected databases of visual media. Building on research from over 30 leading experts from around the world, Semantic-Based Visual Information Retrieval presents state-of-the-art advancements and developments in the field, and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues, such as: multi-level representation and description, scene understanding, semantic modeling, image and video annotation, human-computer interaction, and more. Semantic-Based Visual Information Retrieval also explains detailed solutions to a wide range of practical applications. Researchers, students, and practitioners will find this comprehensive and detailed volume to be a roadmap for applying suitable methods in semantic-based visual information retrieval.

About the Author

Yu-Jin Zhang received a Ph.D. from the State University of Liege, Belgium, in 1989. From 1989 to 1993, he was with the Delft University of Technology, the Netherlands. In 1993, he joined the Tsinghua University, Beijing, China, where he is professor of image engineering since 1997. In 2003, he spent his sabbatical year as visiting professor at National Technological University, Singapore. He is vice president of China Society of Image and Graphics and the director of academic committee of the society. He is deputy editor-in-chief of ""Journal of Image and Graphics"" and associate editor of ""Pattern Recognition Letters"".

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