Content Based Image Retrieval (CBIR) is a set of methods for retrieving related images from an image dataset based on the image features. In the retrieval system, features recognition is the main phase of the system. One of the most important features visually recognized by humans in images is color. A company’s trademark plays an important in expansion of its business. Color is a very importan...

In order to utilize the large volume of images in databases efficiently, content-based image retrieval (CBIR) has been successfully employed whereby instead of the actual images extracted feature descriptors are used. CBIR systems usually employ multidimensional indexing structures, such as the R*tree or the SR-tree to index these features and thus to speed-up the query performance. However, th...

In this chapter, we present a basic introduction of the two very important areas of research in the domain of information technology, namely, multimedia systems and content-based image retrieval. The latter is still a widely unresolved problem. We discuss some of the works done so far in content-based image retrieval in the context of multimedia systems.

The paper discusses the role of invariance in content-based image retrieval, and discusses future directions.