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Object retrieval with deep convolutional features

Author
Mohedano, E.; Salvador, A.; McGuinness, K.; Giro, X.; O'Connor, N.; Marques, F.
Type of activity
Book chapter
Book
Deep learning for image processing applications
First page
137
Last page
163
Publisher
IOS Press
Date of publication
2017-11-23
ISBN
978-1-61499-822-8 Open in new window
DOI
10.3233/978-1-61499-822-8-137
Repository
http://hdl.handle.net/2117/113092 Open in new window
http://hdl.handle.net/2117/113093 Open in new window
URL
http://ebooks.iospress.nl/volumearticle/48028 Open in new window
Abstract
Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about probl...
Citation
Mohedano, E., Salvador, A., McGuinness, K., Giro, X., O'Connor, N., Marques, F. Object retrieval with deep convolutional features. A: "Deep learning for image processing applications". Amsterdam: IOS Press, 2017, p. 137-163.
Keywords
Bag of words, Content analysis and indexing, Convolutional neural networks, Deep learning, Feature representation, Image processing and computer vision, Information storage and retrieval
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants