Content-based image retrieval (CBIR) is an important multimedia application. In recently emerged MPEG-7 standard, image content is described by perceptual features such as color, texture and shape. Many shapebased image retrieval techniques have been proposed in literature. However, almost all of these techniques assume isolated objects and use only shape feature for retrieval. General image re...

The current most desirable image retrieval feature is retrieving images based on their semantic content. Currently there are two major image retrieval paradigms that attempt to provide this: text-based metadata image retrieval and content-based image retrieval. In practical applications, both have limitations. In this paper, we discuss an ontology-based image retrieval approach that aims to sta...

With the rapid development of computer technology, information and network technology, the traditional retrieval model based on keywords and text description can not meet the needs of mass image retrieval. Therefore, content-based image retrieval has become a hot research topic at home and abroad in recent years. Content-based image retrieval CBIR (Content Based Image Retrieval) is a database t...

With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...