Retrieval of Multimedia Information Using Content-Based Image Retrieval (CBIR) Techniques

Retrieval of Multimedia Information Using Content-Based Image Retrieval (CBIR) Techniques

Anupam Mukherjee
Copyright: © 2017 |Pages: 38
ISBN13: 9781522509837|ISBN10: 1522509836|EISBN13: 9781522509844
DOI: 10.4018/978-1-5225-0983-7.ch027
Cite Chapter Cite Chapter

MLA

Mukherjee, Anupam. "Retrieval of Multimedia Information Using Content-Based Image Retrieval (CBIR) Techniques." Biometrics: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 652-689. https://doi.org/10.4018/978-1-5225-0983-7.ch027

APA

Mukherjee, A. (2017). Retrieval of Multimedia Information Using Content-Based Image Retrieval (CBIR) Techniques. In I. Management Association (Ed.), Biometrics: Concepts, Methodologies, Tools, and Applications (pp. 652-689). IGI Global. https://doi.org/10.4018/978-1-5225-0983-7.ch027

Chicago

Mukherjee, Anupam. "Retrieval of Multimedia Information Using Content-Based Image Retrieval (CBIR) Techniques." In Biometrics: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 652-689. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0983-7.ch027

Export Reference

Mendeley
Favorite

Abstract

This chapter will focus on the concept of Content-based image retrieval. Searching of an image or video database based on text based description is a manual labor intensive process. Descriptions of the file are usually typed manually for each image by human operators because the automatic generation of keywords for the images is difficult without incorporation of visual information and feature extraction. This method is impractical in today's multimedia information era. “Content-based” means that the search will analyze the actual contents of the image rather than the metadata such as keywords, tags, and descriptions associated with the image. The term “content” in this context might refer to colors, shapes, textures, or any other information that can be derived from the image itself. Several important sections are highlighted in this chapter, like architectures, query techniques, multidimensional indexing, video retrieval and different application sections of CBIR.

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.