Semantic-Based Visual Information Retrieval (Hardcover) (ISBN-13: 9781599043708)

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, humancomputer 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.

Author: Yu-Jin Zhang
ISBN-10: 159904370X
ISBN-13: 9781599043708
Publisher: IRM Press
Language: English
Published: 11/30/2006
Pages: 384
Format: Hardcover
Weight: 1.96lbs
Size: 10.32h x 7.22w x 0.99d

Review Citation(s):
Scitech Book News 09/01/2007 pg. 147