Article

Attribute Dominance: What Pops Out?

Authors:

Naman Turakhia,

Devi ParikhAuthors Info & Claims

ICCV '13: Proceedings of the 2013 IEEE International Conference on Computer Vision

Pages 1225 - 1232

https://doi.org/10.1109/ICCV.2013.155

Published: 01 December 2013 Publication History

Abstract

When we look at an image, some properties or attributes of the image stand out more than others. When describing an image, people are likely to describe these dominant attributes first. Attribute dominance is a result of a complex interplay between the various properties present or absent in the image. Which attributes in an image are more dominant than others reveals rich information about the content of the image. In this paper we tap into this information by modeling attribute dominance. We show that this helps improve the performance of vision systems on a variety of human-centric applications such as zero-shot learning, image search and generating textual descriptions of images.

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Wang WZheng VYu HMiao C(2019)A Survey of Zero-Shot LearningACM Transactions on Intelligent Systems and Technology10.1145/329331810:2(1-37)Online publication date: 16-Jan-2019
https://dl.acm.org/doi/10.1145/3293318
Dubey AAgarwal SLiu QLienhart RWang HChen SBoll SChen PFriedland GLi JYan S(2017)Modeling Image Virality with Pairwise Spatial Transformer NetworksProceedings of the 25th ACM international conference on Multimedia10.1145/3123266.3123333(663-671)Online publication date: 23-Oct-2017
https://dl.acm.org/doi/10.1145/3123266.3123333
Su ZLi DLi HLuo X(2017)Boosting attribute recognition with latent topics by matrix factorizationJournal of the Association for Information Science and Technology10.1002/asi.2382768:7(1737-1750)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1002/asi.23827
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ICCV '13: Proceedings of the 2013 IEEE International Conference on Computer Vision

December 2013

3650 pages

ISBN:9781479928408

Publisher

IEEE Computer Society

United States

Publication History

Published: 01 December 2013

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Wang WZheng VYu HMiao C(2019)A Survey of Zero-Shot LearningACM Transactions on Intelligent Systems and Technology10.1145/329331810:2(1-37)Online publication date: 16-Jan-2019
https://dl.acm.org/doi/10.1145/3293318
Dubey AAgarwal SLiu QLienhart RWang HChen SBoll SChen PFriedland GLi JYan S(2017)Modeling Image Virality with Pairwise Spatial Transformer NetworksProceedings of the 25th ACM international conference on Multimedia10.1145/3123266.3123333(663-671)Online publication date: 23-Oct-2017
https://dl.acm.org/doi/10.1145/3123266.3123333
Su ZLi DLi HLuo X(2017)Boosting attribute recognition with latent topics by matrix factorizationJournal of the Association for Information Science and Technology10.1002/asi.2382768:7(1737-1750)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1002/asi.23827
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https://dl.acm.org/doi/10.1007/978-3-319-24078-7_47
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Li HLi DLuo XHua KRui YSteinmetz RHanjalic ANatsev AZhu W(2014)BAPProceedings of the 22nd ACM international conference on Multimedia10.1145/2647868.2655023(1013-1016)Online publication date: 3-Nov-2014
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Khosla ADas Sarma AHamid RChung CBroder AShim KSuel T(2014)What makes an image popular?Proceedings of the 23rd international conference on World wide web10.1145/2566486.2567996(867-876)Online publication date: 7-Apr-2014
https://dl.acm.org/doi/10.1145/2566486.2567996

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