Multimedia searching and management have become popular due to demanding applications and competition among companies. Despite the increase in interest, there is no existing book covering basic knowledge on state-of-the-art techniques within the field.

Semantic Mining Technologies for Multimedia Databases provides an introduction to the most recent techniques in multimedia semantic mining necessary to researchers new to the field. This book serves as an important reference in multimedia for academicians, multimedia technologists and researchers, and academic libraries.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Active video annotation
Association-based image retrieval
Content-based video semantic analysis
Face recognition and semantic features
Intuitive image database navigation
Multimedia data indexing
Multimedia information representation
Multimedia resource annotation
Resource discovery using mobile agents
Semantic classification of images
Visual Data Mining

Reviews & Statements

This publication details how current semantic mining tasks play an important role in may fields including random sampling techniques and support vector machine for human computer interaction, manifold learning and subspace methods for data visualization, discriminant analysis for feature selection, and classification trees for data indexing.

– Dacheng Tao, Hong Kong Polytechnic University, Hong Kong

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Editor/Author Biographies

Dacheng Tao received the B.Eng. degree from the University of Science and Technology of China (USTC), the MPhil degree from the Chinese University of Hong Kong (CUHK), and the PhD degree from the University of London (Lon). Currently, he is an assistant professor with the Department of Computing in the Hong Kong Polytechnic University, is a visiting professor in the Xi'Dian University, and holds a visiting position at Birkbeck in Lon. His research interests include artificial intelligence, computer vision, data mining, geoinformatics, machine learning, multimedia, remote sensing, statistics, and visual surveillance. He has published more than 80 scientific articles extensively at IEEE TPAMI, TIP, TKDE, TMM, TCSVT, TSMC, CVPR, ICDM; ACM TKDD, Multimedia, KDD etc. with best paper award and nominations. Previously he gained several Meritorious Awards from the International Interdisciplinary Contest in Modeling, which is the highest level mathematical modeling contest in the world, organized by COMAP. He is an associate editor of Neurocomputing (Elsevier) and the Official Journal of the International Association for Statistical Computing -- Computational Statistics & Data Analysis (Elsevier). He authored/edited five books and seven special issues, including CVIU, PR, PRL, SP, and Neurocomputing. He (co-)chaired special sessions, invited sessions, workshops and conferences. He served for around 60 major international conferences including CVPR, ICCV, ECCV, ICDM, KDD, and Multimedia, and around 20 top international journals including TPAMI, TOIS, TIP, TCSVT, TMM, TIFS, TSMC-B, Computer Vision and Image Understanding (CVIU), and Information Science.

Dong Xu is currently an assistant professor at Nanyang Technological University at Singapore. He received the B.Eng. and PhD degrees from the Electronic Engineering and Information Science Department, University of Science and Technology of China, in 2001 and 2005, respectively. During his PhD study, he worked at Microsoft Research Asia and The Chinese University of Hong Kong for more than two years. He also worked at Columbia University for one year as a postdoctoral research scientist. His research interests include computer vision, pattern recognition, statistical learning and multimedia content analysis. He has published more than 20 papers in top venues including T-PAMI, T-IP, T-CSVT, T-SMC-B and CVPR. He is an associate editor of Neurocomputing (Elsevier). He is the guest editors of three special issues on video and event analysis in IEEE Transactions on Circuits Systems for Video Technology (T-CSVT), Computer Vision and Image Understanding (CVIU) and Pattern Recognition Letters (PRL), and a coauthor of a forthcoming book entitled "Semantic Mining Technologies for Multimedia Databases". He was awarded a Microsoft Fellowship in 2004.

Xuelong Li holds a permanent post at Birkbeck College, University of London and a visiting/guest professorship at Tianjin University and University of Science and Technology of China. His research focuses on cognitive computing, image/video processing, pattern recognition, and multimedia. His research activities are partly sponsored by EPSRC, the British Council, Royal Society, and the Chinese Academy of Sciences. He has over a hundred scientific publications with several Best Paper Awards and finalists. He is an author/editor of four books, an associate editor of IEEE Trans. on Image Processing, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Systems, Man and Cybernetics Part B, and IEEE Trans. on Systems, Man and Cybernetics Part C. He is also an associate editor (editorial board member) of ten other international journals and a guest co-editor of eight special issues. He has served as a chair of around twenty conferences and a program committee member for more than eighty conferences. He has been a reviewer for over a hundred journals and conferences, including eleven IEEE transactions. He is a academic committee member of the China Society of Image and Graphics, a senior member of the IEEE, the chair of IEEE Systems, Man and Cybernetics Society Technical Committee on Cognitive Computing, and a member of several other technical committees of IEEE Systems, Man and Cybernetics Society and IEEE Signal Processing Society Technical Committee on Machine Learning for Signal Processing (MLSP). He is a Chapters Coordinator of the IEEE Systems, Man and Cybernetics Society.

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