Visual Attributes
Editors: Feris, Rogerio Schmidt, Lampert, Christoph, Parikh, Devi (Eds.)
- The first book to introduce the topic of visual attributes, and cover emerging concepts such as zero-shot learning
- Covers theoretical aspects of visual attribute learning, as well as practical computer vision applications
- Includes contributions from world-renowned scientists in machine learning and computer vision, and at the intersection with computational linguistics and human-machine interaction
Buy this book
- About this book
-
This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: presents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning; describes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications; reviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications; discusses attempts to build a vocabulary of visual attributes; explores the connections between visual attributes and natural language; provides contributions from an international selection of world-renowned scientists, covering both theoretical aspects and practical applications.
- About the authors
-
Dr. Rogerio Schmidt Feris is a manager at IBM T.J. Watson Research Center, New York, USA, where he leads research in computer vision and machine learning.
Dr. Christoph H. Lampert is a professor at the Institute of Science and Technology Austria, where he serves as the Principal Investigator of the Computer Vision and Machine Learning Group.
Dr. Devi Parikh is an assistant professor in the School of Interactive Computing at Georgia Tech, USA, where she leads the Computer Vision Lab.
- Download Vorwort 1 PDF (38.9 KB)
- Download Probeseiten 2 PDF (350.6 KB)
- Download Inhaltsverzeichnis PDF (59.2 KB)
Buy this book
Services for this Book
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Visual Attributes
- Editors
-
- Rogerio Schmidt Feris
- Christoph Lampert
- Devi Parikh
- Series Title
- Advances in Computer Vision and Pattern Recognition
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-50077-5
- DOI
- 10.1007/978-3-319-50077-5
- Hardcover ISBN
- 978-3-319-50075-1
- Series ISSN
- 2191-6586
- Edition Number
- 1
- Number of Pages
- VIII, 364
- Number of Illustrations and Tables
- 5 b/w illustrations, 137 illustrations in colour
- Topics
