Edward Y. Chang: Foundations of Large-Scale Multimedia Information Management and Retrieval
Foundations of Large-Scale Multimedia Information Management and Retrieval
Buch
- Mathematics of Perception
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EUR 143,29**
EUR 109,51*
- Springer Berlin Heidelberg, 08/2011
- Einband: Gebunden, HC runder Rücken kaschiert
- Sprache: Englisch
- ISBN-13: 9783642204289
- Bestellnummer: 9335872
- Umfang: 312 Seiten
- Sonstiges: 48 SW-Abb., 60 Farbabb.,
- Auflage: 2011
- Copyright-Jahr: 2011
- Gewicht: 640 g
- Maße: 243 x 161 mm
- Stärke: 25 mm
- Erscheinungstermin: 1.8.2011
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Foundations of Large-Scale Multimedia Information Management and Retrieval
Kurzbeschreibung
Authored by Google research director Dr. Edward Chang, this book has the inside track on a fast-moving sector. Covering knowledge representation, semantic analysis, and scalability issues in one volume it is a must-read for both professionals and students.Inhaltsangabe
Part I - Knowledge Representation and Semantic Analysis.- 1. Mathematics of Perception.- 2. Supervised Learning (based on tutorial DASFAA 2003).- 3. Query Concept Learning (based on IEEE TMM 2005).- 4. Feature Extraction.- 5. Feature Reduction (based on MM 04, ICME 05, IPAM).- 6. Similarity (based on MMJ 2002, CIKM 04, ICML 05).- Part II - Scalability Issues.- 7. Imbalanced Data Learning (based on TKDE 2005).- 8. Semantics Fusion (based on MM 04, MM05, KDD 08).- 9. Kernel Machines Speedup (based on SDM 05, KDD 06, NIPS 07).- 10. Kernel Indexing (based on TKDE 06).- 11. Put It All Together (based on SPIE 06).Klappentext
"Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception" covers knowledge representation and semantic analysis of multimedia data and scalability in signal extraction, data mining, and indexing. The book is divided into two parts: Part I - Knowledge Representation and Semantic Analysis focuses on the key components of mathematics of perception as it applies to data management and retrieval. These include feature selection / reduction, knowledge representation, semantic analysis, distance function formulation for measuring similarity, and multimodal fusion. Part II - Scalability Issues presents indexing and distributed methods for scaling up these components for high-dimensional data and Web-scale datasets. The book presents some real-world applications and remarks on future research and development directions.The book is designed for researchers, graduate students, and practitioners in the fields of Computer Vision, MachineLearning, Large-scale Data Mining, Database, and Multimedia Information Retrieval.
Dr. Edward Y. Chang was a professor at the Department of Electrical & Computer Engineering, University of California at Santa Barbara, before he joined Google as a research director in 2006. Dr. Chang received his M. S. degree in Computer Science and Ph. D degree in Electrical Engineering, both from Stanford University.
Edward Y. Chang
Foundations of Large-Scale Multimedia Information Management and Retrieval
EUR 143,29**
EUR 109,51*