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Environment Estimation Based on Inter-object Relations

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dc.contributor.author Ismagambetov, Asset
dc.date.accessioned 2018-10-31T04:23:25Z
dc.date.available 2018-10-31T04:23:25Z
dc.date.issued 2017-04
dc.identifier.citation Asset Ismagambetov. Environment Estimation Based on Inter-object Relations. 2017. Department of Computer Science, School of Science and Technology, Nazarbayev University en_US
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/3567
dc.description.abstract Here we presented the model for environment estimation based on the interobject relations. The uniqueness of this model is that it relies on the results of image segmentation and predicts environment based on the object properties and their relationships. The model provides context by describing the environment where particular objects’ setup can occur. Many other works reported usefulness of contextual information for image processing problems. In particular, [16] had proven that contextual information can improve the accuracy of the verification process up to 16%. As part of the feature work we plan to assess the improvement that our model brings to the overall image segmentation process as part of the Algorithm selection platform. en_US
dc.language.iso en en_US
dc.publisher Nazarbayev University School of Science and Technology en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject environment estimation en_US
dc.title Environment Estimation Based on Inter-object Relations en_US
dc.type Master's thesis en_US
workflow.import.source science


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Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States