Free Delivery Over $100
|
|
|||
|
||||
OverviewModern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval. Full Product DetailsAuthor: Aarti Singh , Nilanjan Dey , Amira S. Ashour , V. SanthiPublisher: IGI Global Imprint: IGI Global Dimensions: Width: 15.20cm , Height: 1.90cm , Length: 22.90cm Weight: 0.788kg ISBN: 9781522524830ISBN 10: 1522524835 Pages: 246 Publication Date: 28 February 2017 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationAarti Singh, Guru Nanak Girls College, Yamuna Nagar, India. Nilanjan Dey, Techno India College of Technology, India. Amira S. Ashour, Tanta University, Egypt & Taif University, Saudi Arabia. V. Santhi, VIT University, India. Tab Content 6Author Website:Countries AvailableAll regions |
||||
