Digital image processing

The Internet

Image (mathematics)

Optics

Physics

Data mining

World Wide Web

Philosophy

Artificial intelligence

Image retrieval

Visual Word

Focus (optics)

Automatic image annotation

Pure mathematics

Information retrieval

Data science

Feature (linguistics)

Content-based image retrieval

Mathematics

Computer science

Linguistics

Digital image

Feature extraction

Image processing

Field (mathematics)

Cogent Engineering

With the availability of internet technology and the low-cost of digital image sensor, enormous amount of image databases have been created in different kind of applications. These image databases increase the demand to develop efficient image retrieval search methods that meet user requirements. Great attention and efforts have been devoted to improve content-based image retrieval method with a particular focus on reducing the semantic gap between low-level features and human visual perceptions. Due to the increasing research in this field, this paper surveys, analyses and compares the current state-of-the-art methodologies over the last six years in the CBIR field. This paper also provides an overview of CBIR framework, recent low-level feature extraction methods, machine learning algorithms, similarity measures, and a performance evaluation to inspire further research efforts.

Content-based image retrieval: A review of recent trends