A Survey on Feature Based Image Retrieval Techniques

Ling Shao

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter, we review classical and state of the art Content-Based Image Retrieval algorithms. Techniques on representing and extracting visual features, such as color, shape, and texture, are first presented. Several well-known image retrieval systems using those features are also summarized. Then, two recent trends on image retrieval, namely semantic based methods and local invariant regions based methods, are discussed. We analyze the drawbacks of current approaches and propose directions for future work.
Original languageEnglish
Title of host publicationIntelligent Multimedia Databases and Information Retrieval
EditorsLi Yan, Zongmin Ma
Place of PublicationHershey, PA
PublisherIGI Global
Pages105-120
Number of pages334
ISBN (Print)9781613501269
DOIs
Publication statusPublished - Sep 2011

Fingerprint Dive into the research topics of 'A Survey on Feature Based Image Retrieval Techniques'. Together they form a unique fingerprint.

Cite this