Prediction of relevance of an image from a scan pattern
Klami, Arto, Kaski, Samuel, Pasupa, Kitsuchart, Saunders, Craig and de Campos, Teófilo (2008) Prediction of relevance of an image from a scan pattern.
This report considers the task of inferring implicit relevance feedback from eye movements in image retrieval settings. The feasibility of solving the problem without using any image-level features is demonstrated on two different search settings, and the accuracy of inferring the relevance feedback is shown to be relatively high, clearly better than random. In addition, the report provides a list of image-level features that are good cues for relevance.
|Item Type:||Monograph (Technical Report)|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science
|Date Deposited:||15 Dec 2009 13:24|
|Last Modified:||02 Mar 2012 11:41|
|Contributors:||Klami, Arto (Author)
Kaski, Samuel (Author)
Pasupa, Kitsuchart (Author)
Saunders, Craig (Author)
de Campos, Teófilo (Author)
|Date:||31 December 2008|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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