DocumentCode :
531816
Title :
Gaze movement inference for implicit image annotation
Author :
Hajimirza, S. Navid ; Izquierdo, Ebroul
Author_Institution :
Multimedia & Vision Res. Group, Univ. of London, London, UK
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
1
Lastpage :
4
Abstract :
An innovative semi-automatic image annotation system is enriched with the feedbacks of user´s eyes. This system implicitly exploits the competence of human mind and it utilizes the computational power of the computers in order to achieve a pervasive and accurate annotation. This method requires minimal user interaction. It makes it suitable to be used in distributed environments while the users are performing their usual daily surfing. The user´s gaze state on the trial screen is monitored and interpreted by an interface promoted by fuzzy inference. The preliminary results indicate that in a multi-user environment the annotating precision of the system is over 80% with the Recall between 60%-80%.
Keywords :
fuzzy reasoning; image retrieval; user interfaces; computational power; distributed environment; fuzzy inference; gaze movement inference; human mind competence; image retrieval; implicit image annotation; innovative semiautomatic image annotation system; multiuser environment; user interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on
Conference_Location :
Desenzano del Garda
Print_ISBN :
978-1-4244-7848-4
Electronic_ISBN :
978-88-905328-0-1
Type :
conf
Filename :
5617668
Link To Document :
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