Welcome to the InfoSci Platform
Content-Based Image Retrieval

Content-Based Image Retrieval

Timo R. Bretschneider, Odej Kao
Copyright: © 2005 |Pages: 5
ISBN13: 9781591405573|ISBN10: 1591405572|EISBN13: 9781591405597
DOI: 10.4018/978-1-59140-557-3.ch041
Cite Chapter Cite Chapter

MLA

Bretschneider, Timo R., and Odej Kao. "Content-Based Image Retrieval." Encyclopedia of Data Warehousing and Mining, edited by John Wang, IGI Global, 2005, pp. 212-216. https://doi.org/10.4018/978-1-59140-557-3.ch041

APA

Bretschneider, T. R. & Kao, O. (2005). Content-Based Image Retrieval. In J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining (pp. 212-216). IGI Global. https://doi.org/10.4018/978-1-59140-557-3.ch041

Chicago

Bretschneider, Timo R., and Odej Kao. "Content-Based Image Retrieval." In Encyclopedia of Data Warehousing and Mining, edited by John Wang, 212-216. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-557-3.ch041

Export Reference

Mendeley
Favorite

Abstract

Sensing and processing multimedia information is one of the basic traits of human beings: The audiovisual system registers and transports surrounding images and sounds. This complex re­cording system, complemented by the senses of touch, taste, and smell, enables perception and provides humans with data for analysing and interpreting the environment. Imitating this perception and the simulation of the processing was and still is one of the major leitmotifs of multimedia technology developments. The goal is to find a representation for every type of knowledge, which makes the reception and processing of information as easy as possible. The need to process given information, deliver it, and explain it to a certain audience exists in nearly all areas of day-to-day life: commerce, science, education, and entertainment (Smeulders, Worring, Santini, Gupta, & Jain, 2000).

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.