On the Role of Context-Awareness in Binary Image Comparison

dc.contributor.author Iglesias-Rey, Sara
dc.contributor.author Castillo-Lopez, Aitor
dc.contributor.author Lopez-Molina, Carlos
dc.contributor.author De Baets, Bernard
dc.date.accessioned 2021-12-24T17:37:02Z
dc.date.available 2021-12-24T17:37:02Z
dc.date.issued 2022-01-04
dc.description.abstract The quantification of image similarity has been a key topic in the computer vision literature for the past few years. Different mathematical theories have been used in the development of these measures, which we will refer to as comparison measures. An interesting aspect in the study of comparison measures is the natural requirement to replicate human behavior. In almost all cases, it is appropriate for a comparison measure to produce results that are consistent with how humans would perform that assessment. However, despite accepting this premise, most of the proposals in the literature ignore a fundamental characteristic of the way in which humans carry out this evaluation: the context of comparison. In this work we present a comparison measure for binary images that incorporates the context of comparison; more precisely, we introduce an approach for the generation of ultrametrics for the context-aware comparison of binary images.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.268
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79600
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Soft Computing: Theory Innovations and Problem Solving Benefits
dc.subject binary image comparison
dc.subject context-awareness
dc.subject network-based comparison
dc.subject ultrametric
dc.title On the Role of Context-Awareness in Binary Image Comparison
dc.type.dcmi text
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