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» Image ranking with implicit feedback from eye movements
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PICS
2003
13 years 6 months ago
Eye Tracking Observers During Rank Order, Paired Comparison, and Graphical Rating Tasks
In studying image quality and image preference it is necessary to collect psychophysical data. A variety of methods are used to arrive at interval scale values which indicate the ...
Jason S. Babcock, Jeff B. Pelz, Mark D. Fairchild
CHI
2011
ACM
12 years 9 months ago
No clicks, no problem: using cursor movements to understand and improve search
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
Jeff Huang, Ryen W. White, Susan T. Dumais
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
13 years 10 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...

Publication
237views
12 years 7 months ago
Estimation of behavioral user state based on eye gaze and head pose—application in an e-learning environment
Most e-learning environments which utilize user feedback or profiles, collect such information based on questionnaires, resulting very often in incomplete answers, and sometimes de...
Stylianos Asteriadis, Paraskevi Tzouveli, Kostas K...
BMVC
2001
13 years 7 months ago
CBIR with Perceptual Region Features
A perceptual approach to generating features for use in indexing and retrieving images is described. Salient regions that immediately attract the eye are colour (textured) regions...
Majid Mirmehdi, Radhakrishnan Periasamy