A collaborative personalized affective video retrieval system

Author

Soleymani, Mohammad ; Davis, Jeremy ; Pun, Thierry

Author_Institution

Comput. Sci. Dept., Univ. of Geneva, Geneva, Switzerland

fYear

2009

fDate

10-12 Sept. 2009

Firstpage

1

Lastpage

2

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ACII.2009.5349526

Filename

5349526