An Investigation in Multi-Feature Query Language Based Classification in Image Retrieval

Author:

Renz, Wolfgang

Place:

Hershey, PA

Publisher:

IGI Global

Date published:

2012

Responsibility:

Lu, Joan, jt. author

Pein, Raoul Pascal, jt. author

Editor:

Lu, Zhongyu (Joan)

Journal Title:

Design, Performance, and Analysis of Innovative Information Retrieval

Source:

Design, Performance, and Analysis of Innovative Information Retrieval

Subject:

CONTENT-BASED IMAGE RETRIEVAL

Abstract:

The research field of "Content-Based Image Retrieval (CBIR)"? is closely related to several others. This chapter provides an overview of the most relevant research fields and their interrelationship regarding this investigation. For each one, a summary of recent, related research is presented. In addition, the related preliminary work of the author is shortly presented. Based on this background information, major challenges in CBIR are discussed. The scope and the aims of this investigation have been adjusted to accommodate those challenges with respect to the given resources.

Series:

Advances in Data Mining and Database Management

Catagory URL:

http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-19…

DOI:

https://library.au.int/fr/10.4018/978-1-4666-1975-3.ch021

CITATION: Renz, Wolfgang. An Investigation in Multi-Feature Query Language Based Classification in Image Retrieval edited by Lu, Zhongyu (Joan) . Hershey, PA : IGI Global , 2012. Design, Performance, and Analysis of Innovative Information Retrieval - Available at: https://library.au.int/frinvestigation-multi-feature-query-language-based-classification-image-retrieval-0