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RAID: A relation-augmented image descriptor

Guerrero, P; Mitra, NJ; Wonka, P; (2016) RAID: A relation-augmented image descriptor. ACM Transactions on Graphics , 35 (4) , Article 46. 10.1145/2897824.2925939. Green open access

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Abstract

As humans, we regularly interpret scenes based on how objects are related, rather than based on the objects themselves. For example, we see a person riding an object X or a plank bridging two objects. Current methods provide limited support to search for content based on such relations. We present RAID, a relation-augmented image descriptor that supports queries based on inter-region relations. The key idea of our descriptor is to encode region-to-region relations as the spatial distribution of point-to-region relationships between two image regions. RAID allows sketch-based retrieval and requires minimal training data, thus making it suited even for querying uncommon relations. We evaluate the proposed descriptor by querying into large image databases and successfully extract nontrivial images demonstrating complex inter-region relations, which are easily missed or erroneously classified by existing methods. We assess the robustness of RAID on multiple datasets even when the region segmentation is computed automatically or very noisy.

Type: Article
Title: RAID: A relation-augmented image descriptor
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2897824.2925939
Publisher version: https://doi.org/10.1145/2897824.2925939
Language: English
Additional information: Copyright © 2016 The owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Keywords: spatial relationships, image descriptors, relation-based query, sketch-based query, image retrieval
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/1502253
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