DocumentCode :
3285993
Title :
An application framework for implicit sentiment human-centered tagging using attributed affect
Author :
Apostolakis, Konstantinos C. ; Daras, Petros
Author_Institution :
Inf. Technol. Inst., Centre for Res. & Technol.-Hellas, Thessaloniki, Greece
fYear :
2013
fDate :
3-5 July 2013
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, a novel framework for implicit sentiment image tagging and retrieval is presented, based on the concept of attributed affect. The user´s affective response is recorded and analyzed to provide an appropriate affective label, while eye gaze is monitored in order to identify a specific object depicted in the scene, which is attributed as the cause of the user´s current state of core affect. Through this procedure, automatic tagging of content, as well as retrieval based on personal preferences is possible. Our experiments show that our framework successfully channels behavioral tags (in the form of affective labels) to the data tagging and retrieval loop, even when applied in the context of a cost-efficient, widely available hardware setup, that uses a single low resolution webcam mounted on a standard modern computer system.
Keywords :
image recognition; image retrieval; object recognition; affective label; attributed affect; automatic tagging; behavioral tags; computer system; core affect; data tagging; eye gaze; image retrieval; implicit sentiment human-centered tagging; implicit sentiment image tagging; low resolution webcam; personal preferences; retrieval loop; user affective response; Cameras; Computers; Hardware; Image segmentation; Monitoring; Object recognition; Tagging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis for Multimedia Interactive Services (WIAMIS), 2013 14th International Workshop on
Conference_Location :
Paris
ISSN :
2158-5873
Type :
conf
DOI :
10.1109/WIAMIS.2013.6616145
Filename :
6616145
Link To Document :
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