Toward semantic image similarity from crowdsourced clustering

The Visual Computer, Volume 32, Issue 6-8, 2016, Pages 1045-1055.

Cited by: 8|Bibtex|Views27|Links
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Keywords:
Crowdsourcing Image similarity Image distance metric

Abstract:

Determining the similarity between images is a fundamental step in many applications, such as image categorization, image labeling and image retrieval. Automatic methods for similarity estimation often fall short when semantic context is required for the task, raising the need for human judgment. Such judgments can be collected via crowds...More

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