Unsupervised Grounding of Textual Descriptions of Object Features and Actions in Video

Alomari, M, Chinellato, E, Gatsoulis, Y et al. (2 more authors) (2016) Unsupervised Grounding of Textual Descriptions of Object Features and Actions in Video. In: Proceedings, 15th International Conference on Principles of Knowledge Representation and Reasoning. KR 2016, 25-29 Apr 2016, Cape Town, South Africa. Association for the Advancement of Artificial Intelligence , pp. 505-508.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2016, Association for the Advancement of Artificial Intelligence. This is an author produced version of a paper published in Proceedings, 15th International Conference on Principles of Knowledge Representation and Reasoning (KR 2016).
Keywords: Grounding Symbols in Video, Aligning Language and Vision, Semantics of Relations
Dates:
  • Published: 30 March 2016
  • Accepted: 21 January 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Funding Information:
FunderGrant number
EU - European UnionFP7-ICT-600623
Depositing User: Symplectic Publications
Date Deposited: 04 Mar 2016 13:21
Last Modified: 23 Jun 2016 00:18
Published Version: http://www.aaai.org/ocs/index.php/KR/KR16/schedCon...
Status: Published
Publisher: Association for the Advancement of Artificial Intelligence

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Filename: kr-16-final-crc1.pdf

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