Feature Dimension Reduction for Content-Based Image Identification

Nonfiction, Computers, Advanced Computing, Engineering, Optical Data Processing, Application Software, General Computing
Cover of the book Feature Dimension Reduction for Content-Based Image Identification by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781522557777
Publisher: IGI Global Publication: June 29, 2018
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781522557777
Publisher: IGI Global
Publication: June 29, 2018
Imprint: Information Science Reference
Language: English

Image data has portrayed immense potential as a foundation of information for numerous applications. Recent trends in multimedia computing have witnessed a rapid growth in digital image collections, resulting in a need for increased image data management. Feature Dimension Reduction for Content-Based Image Identification is a pivotal reference source that explores the contemporary trends and techniques of content-based image recognition. Including research covering topics such as feature extraction, fusion techniques, and image segmentation, this book explores different theories to facilitate timely identification of image data and managing, archiving, maintaining, and extracting information. This book is ideally designed for engineers, IT specialists, researchers, academicians, and graduate-level students seeking interdisciplinary research on image processing and analysis.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Image data has portrayed immense potential as a foundation of information for numerous applications. Recent trends in multimedia computing have witnessed a rapid growth in digital image collections, resulting in a need for increased image data management. Feature Dimension Reduction for Content-Based Image Identification is a pivotal reference source that explores the contemporary trends and techniques of content-based image recognition. Including research covering topics such as feature extraction, fusion techniques, and image segmentation, this book explores different theories to facilitate timely identification of image data and managing, archiving, maintaining, and extracting information. This book is ideally designed for engineers, IT specialists, researchers, academicians, and graduate-level students seeking interdisciplinary research on image processing and analysis.

More books from IGI Global

Cover of the book Knowledge Management and Drivers of Innovation in Services Industries by
Cover of the book Sociotechnical Enterprise Information Systems Design and Integration by
Cover of the book Machine Learning Algorithms for Problem Solving in Computational Applications by
Cover of the book Handbook of Research on Computational Intelligence Applications in Bioinformatics by
Cover of the book Citizen E-Participation in Urban Governance by
Cover of the book Handbook of Research on Innovations in Information Retrieval, Analysis, and Management by
Cover of the book Integrating Multi-User Virtual Environments in Modern Classrooms by
Cover of the book Nanotechnology Applications in Environmental Engineering by
Cover of the book Collaboration in International and Comparative Librarianship by
Cover of the book Interoperability in Digital Public Services and Administration by
Cover of the book Optimizing Information Security and Advancing Privacy Assurance by
Cover of the book Driving the Development, Management, and Sustainability of Cognitive Cities by
Cover of the book Handbook of Research on Transformative Online Education and Liberation by
Cover of the book Actor-Network Theory and Technology Innovation by
Cover of the book Handbook of Research on Technological Developments for Cultural Heritage and eTourism Applications by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy