Semantic Mining Technologies For Multimedia Databases
by Dacheng Tao
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
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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.
Product Details
- ISBN-13:
- 9781605661889
- Publisher:
- IGI Global
- Publication date:
- 03/17/2011
- Pages:
- 552
- Product dimensions:
- 8.70(w) x 11.30(h) x 1.50(d)
Table of Contents
Ch. I Video Representation and Processing for Multimedia Data Mining Amr Ahmed Ahmed, Amr 1
Ch. II Image Features from Morphological Scale-Spaces Sebastien Lefevre Lefevre, Sebastien 32
Ch. III Face Recognition and Semantic Features Huiyu Zhou Zhou, Huiyu Yuan Yuan Yuan, Yuan Chunmei Shi Shi, Chunmei 80
Ch. IV Shape Matching for Foliage Database Retrieval Haibin Ling Ling, Haibin David W. Jacobs Jacobs, David W. 100
Ch. V Similarity Learning for Motion Estimation Shaohua Kevin Zhou Zhou, Shaohua Kevin Jie Shao Jie, Shao Bogdan Georgescu Georgescu, Bogdan Dorin Comaniciu Comaniciu, Dorin 130
Ch. VI Active Learning for Relevance Feedback in Image Retrieval Jian Cheng Jian, Cheng Kongqiao Wang Wang, Kongqiao Hanqing Lu Lu, Hanqing 152
Ch. VII Visual Data Mining Based on Partial Similarity Concepts Juliusz L. Kulikowski Kulikowski, Juliusz L. 166
Ch. VIII Image/Video Semantic Analysis by Semi-Supervised Learning Jinhui Tang Tang, Jinhui Xian-Sheng Hua Hua, Xian-Sheng Meng Wang Meng, Wang 183
Ch. IX Content-Based Video Semantic Analysis Shuqiang Jiang Jiang, Shuqiang Yonghong Tian Tian, Yonghong Qingming Huang Huang, Qingming Tiejun Huang Huang, Tiejun Wen Gao Wen, Gao 211
Ch. X Applications of Semantic Mining on Biological Process Engineering Hossam A. Gabbar Gabbar, Hossam A. Naila Mahmut Mahmut, Naila 236
Ch. XI Intuitive Image Database Navigation by Hue-Sphere Browsing Gerald Schaefer Schaefer, Gerald Simon Ruszala Ruszala, Simon 263
Ch. XII Formal Models and Hybrid Approaches for Efficient Manual Image Annotation and Retrieval Rong Yan Rong, Yan Apostol Natsev Natsev, Apostol Murray Campbell Campbell, Murray 272
Ch. XIII Active Video Annotation: To MinimizeHuman Effort Meng Wang Meng, Wang Xian-Sheng Hua Hua, Xian-Sheng Jinhui Tang Tang, Jinhui Guo-Jun Qi Qi, Guo-Jun 298
Ch. XIV Annotating Images by Mining Image Search Xin-Jing Wang Wang, Xin-Jing Lei Zhang Lei, Zhang Xirong Li Li, Xirong Wei-Ying Ma Ma, Wei-Ying 323
Ch. XV Semantic Classification and Annotation of Images Yonghong Tian Tian, Yonghong Shuqiang Jiang Jiang, Shuqiang Tiejun Huang Huang, Tiejun Wen Gao Wen, Gao 350
Ch. XVI Association-Based Image Retrieval Arun Kulkarni Kulkarni, Arun Leonard Brown Brown, Leonard 379
Ch. XVII Compressed-Domain Image Retrieval Based on Colour Visual Patterns Gerald Schaefer Schaefer, Gerald 407
Ch. XVIII Resource Discovery Using Mobile Agents M. Singh Singh, M. X. Cheng Cheng, X. X. He He, X. 419
Ch. XIX Multimedia Data Indexing Zhu Li Zhu, Li Yun Fu Fu, Yun Junsong Yuan Yuan, Junsong Ying Wu Ying, Wu Aggelos Katsaggelos Katsaggelos, Aggelos Thomas S. Huang Huang, Thomas S. 449
Compilation of References 476
Index 523
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