Abstract: In recent years, a rapid increase in the size of digital image databases has been
observed. Everyday gigabytes of images are generated. Consequently, the search for the
relevant information from image and video databases has become more challenging. To get
accurate retrieval results is still an unsolved problem and an active research area. Content-based
image retrieval (CBIR) is a process in which for a given query image, similar images are retrieved
from a large image database based on their content similarity. A number of techniques have
been suggested by researchers for content-based image retrieval. In this chapter, a review of
some state-of-the-art retrieval techniques is provided.