Visual Attributes

Front Cover
Rogerio Schmidt Feris, Christoph Lampert, Devi Parikh
Springer, Mar 21, 2017 - Computers - 364 pages

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.

 

What people are saying - Write a review

User Review - Flag as inappropriate

Nise

Contents

1 Introduction to Visual Attributes
1
Part I AttributeBased Recognition
8
2 An Embarrassingly Simple Approach to ZeroShot Learning
11
Are Attributes Still Useful Privileged Data?
31
Multitask Attribute Learning with Selective Sharing
49
Part II Relative Attributes and Their Application to Image Search
86
5 Attributes for Image Retrieval
89
6 FineGrained Comparisons with Attributes
119
8 Deep Learning Face Attributes for Detection and Alignment
181
9 Visual Attributes for Fashion Analytics
215
Part IV Defining a Vocabulary of Attributes
244
10 A Taxonomy of Part and Attribute Discovery Techniques
247
Organizing Scenes by Affordances Materials and Layout
269
Part V Attributes and Language
298
12 Attributes as Semantic Units Between Natural Language and Visual Recognition
301
13 Grounding the Meaning of Words with Visual Attributes
331

7 Localizing and Visualizing Relative Attributes
155
Part III Describing People Based on Attributes
179
Index
363
Copyright

Other editions - View all

Common terms and phrases

About the author (2017)

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.