Large Scale Rich Media Information Search: Challenges and Opportunities
Publication Type
Conference Proceeding Article
Publication Date
9-2010
Abstract
In recent years, the emergence of online social network and other web applications is dramatically changing how rich media information is accessed and presented, how knowledge is processed and extracted, and how business can be conducted. Characteristics of the related data, users and computing environment influence the development, implementation and evaluation of media (e.g., text, audio, image and video) retrieval systems significantly. Designing effective search algorithms plays a critical role to satisfy user’s information needs. In this article, we try to identify several potential research directions and discuss critical technical challenges on how to efficiently develop rich/multimedia retrieval and data management techniques from different respects. They include query formulation, recommendation systems, and index structure for query speed and scalability improvement.
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Publication
Advances in Multimedia Information Processing - PCM 2010: 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 2010, Proceedings, Part II
Volume
6298
First Page
13
Last Page
21
ISBN
9783642156960
Identifier
10.1007/978-3-642-15696-0_2
Publisher
Springer Verlag
City or Country
Shanghai, China
Citation
CHENG, Zhiyong and SHEN, Jialie.
Large Scale Rich Media Information Search: Challenges and Opportunities. (2010). Advances in Multimedia Information Processing - PCM 2010: 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 2010, Proceedings, Part II. 6298, 13-21.
Available at: https://ink.library.smu.edu.sg/sis_research/649
Additional URL
http://dx.doi.org/10.1007/978-3-642-15696-0_2