Semantic-Based Visual Information Retrieval

Semantic-Based Visual Information Retrieval is one of the most challenging research directions of content-based visual information retrieval. It provides efficient tools for access interaction searching and retrieving from collected databases of visual media. Building on research from over 30 leading experts from around the world Semantic-Based Visual Information Retrieval presents state-of-the-art advancements and developments in the field and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues such as: multi-level representation and description scene understanding semantic modeling image and video annotation human-computer interaction and more. Semantic-Based Visual Information Retrieval also explains detailed solutions to a wide range of practical applications. Researchers students and practitioners will find this comprehensive and detailed volume to be a roadmap for applying suitable methods in semantic-based visual information retrieval.