Title :
A collaborative personalized affective video retrieval system
Author :
Soleymani, Mohammad ; Davis, Jeremy ; Pun, Thierry
Author_Institution :
Comput. Sci. Dept., Univ. of Geneva, Geneva, Switzerland
Abstract :
In this demonstration, a collaborative personalized affective video retrieval is introduced. A dataset of 155 video clips extracted from Hollywood movies were annotated by the emotion felt by participants. More than 1300 annotations from 40 participants were gathered in a database to be used for affective retrieval system. The retrieval system is able to retrieve videos based on emotional keyword query as well as arousal and valence query. The user´s personal profile (gender, age, cultural background) was employed to improve the collaborative filtering in retrieval.
Keywords :
filtering theory; video retrieval; Hollywood movies; collaborative filtering; collaborative personalized affective video retrieval system; emotional keyword query; Collaboration; Computer vision; Content based retrieval; Cultural differences; Filtering; Information retrieval; Internet; Motion pictures; Multimedia databases; Multimedia systems;
Conference_Titel :
Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4244-4800-5
Electronic_ISBN :
978-1-4244-4799-2
DOI :
10.1109/ACII.2009.5349526
