Semantic-Based Visual Information Retrieval

Content-based visual information retrieval (CBVIR) is one of the most interesting research topics in the last years for the image and video community. With the progress of electronic equipment and computer techniques for visual information capturing and processing, a huge number of image and video records have been collected. Visual information becomes a well-known information format and a popular element in all aspects of our society. The large visual data make the dynamic research focused on the problem of how efficiently to capture, store, access, process, represent, describe, query, search, and retrieve their contents. In the last years, this field has experienced significant growth and progress, resulting in a virtual explosion of published information.