Semantic-Based Visual Information Retrieval

Yu-Jin Zhang

ISBN 10: 159904370X / ISBN 13: 9781599043708

Published by IRM Press, 2006

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9781599043708

Bibliographic Details

• Title: Semantic-Based Visual Information Retrieval
• Publisher: IRM Press
• Publication Date: 2006
• Language: English
• ISBN 10: 159904370X
• ISBN 13: 9781599043708
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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 Liège, 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. His research interests are mainly in the area of image engineering that includes image processing, image analysis and image understanding, as well as their applications. He has published more than 200 research papers and 10 books including two monographs: "Image Segmentation" and "Content-based Visual Information Retrieval" (Science Press). 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". He was the program co-chair of "The First International Conference on Image and Graphics" (ICIG'2000) and "The Second International Conference on Image and Graphics" (ICIG'2002). He is a senior member of IEEE.