Intelligent multimedia databases and information retrieval advancing applications and technologies /

"This book details the latest information retrieval technologies and applications, the research surrounding the field, and the methodologies and design related to multimedia databases"--Provided by publisher.

Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Yan, Li, 1964-, Ma, Zongmin, 1965-
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), 2011.
Subjects:
Online Access:Chapter PDFs via platform:
Table of Contents:
  • 1. Profiling user color perception for image retrieving / Imad El-Zakhem ... [et al.]
  • 2. Approach of using texture and shape for image retrieval / Gang Zhang, Zongmin Ma and Li Yan
  • 3. Mid-level image descriptors / Jean Martinet and Ismail Elsayad
  • 4. An image retrieval model combining ontology and probabilistic ranking / Lisa Fan and Botang Li
  • 5. Annotation of medical images / Chia-Hung Wei and Sherry Y. Chen
  • 6. A hybrid approach to content-based image retrieval / Görkem Asilioglu ... [et al.]
  • 7. A survey on feature based image retrieval techniques / Ling Shao
  • 8. Extracting sport video semantics: research and applications / Chia-Hung Yeh ... [et al.]
  • 9. Normal forms for multimedia databases / Shi Kuo Chang, Vincenzo Deufemia and Giuseppe Polese
  • 10. Towards a dynamic semantic and complex relationship modeling of multimedia data / Dawen Jia and Mengchi Liu
  • 11. Towards a unified multimedia metadata management solution / Samir Amir ... [et al.]
  • 12. Abstractions in intelligent multimedia databases: application of layered architecture and visual keywords for intelligent search / Ranjan Parekh and Nalin Sharda
  • 13. Fuzzy logic for image retrieval and image databases: a literature overview / Li Yan and Z. M. Ma
  • 14. EDUPMO: a framework for multimedia production management / Joni A. Amorim, Rosana G.S. Miskulin and Mauro S. Miskulin
  • 15. Latent semantic analysis for text mining and beyond / Anne Kao ... [et al.].