| Semantic-Based Visual Information Retrieval Contributor(s): Zhang, Yu-Jin (Author) |
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ISBN: 159904370X ISBN-13: 9781599043708 Publisher: IRM Press OUR PRICE: $90.20 Product Type: Hardcover - Other Formats Published: November 2006 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers - Technology & Engineering | Imaging Systems |
| Dewey: 621.367 |
| LCCN: 2006027731 |
| Physical Information: 0.99" H x 7.22" W x 10.32" (1.96 lbs) 384 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |