Using scripts for affective content retrieval

Xu, M; He, X; Jin, JS; Peng, Y; Xu, C; Guo, W

Using scripts for affective content retrieval

Xu, M

He, X

Jin, JS Peng, Y Xu, C Guo, W

Permalink

Publication Type:: Chapter
Citation:: 2010, 6298 LNCS pp. 43 - 51
Issue Date:: 2010-11-09

Closed Access

	Filename	Description	Size
	2009007467OK.pdf		414.19 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Xu, M https://orcid.org/0000-0001-9581-8849	en_US
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Jin, JS	en_US
dc.contributor.author	Peng, Y	en_US
dc.contributor.author	Xu, C	en_US
dc.contributor.author	Guo, W	en_US
dc.date.issued	2010-11-09	en_US
dc.identifier.citation	2010, 6298 LNCS pp. 43 - 51	en_US
dc.identifier.isbn	3642156959	en_US
dc.identifier.isbn	9783642156953	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12971
dc.description.abstract	Movie affective content analysis attracts increasing research efforts since affective content not only affect users attentions but also locate movie highlights. However, affective content retrieval is still a challenging task due to the limitation of affective features in movies. Scripts provide direct access to the movie content and represent affective aspects of the movie. In this paper, we utilize scripts as an important clue to retrieve video affective content. The proposed approach includes two main steps. Firstly, affective script partitions are extracted by detecting emotional words. Secondly, affective partitions are validated by using visual and auditory features. The results are encouraging and compared with the manually labelled ground truth. © 2010 Springer-Verlag.	en_US
dc.relation.isbasedon	10.1007/978-3-642-15696-0_5	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Using scripts for affective content retrieval	en_US
dc.type	Chapter
utslib.citation.volume	6298 LNCS	en_US
utslib.for	080305 Multimedia Programming	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	6298 LNCS	en_US

Abstract:

Movie affective content analysis attracts increasing research efforts since affective content not only affect users attentions but also locate movie highlights. However, affective content retrieval is still a challenging task due to the limitation of affective features in movies. Scripts provide direct access to the movie content and represent affective aspects of the movie. In this paper, we utilize scripts as an important clue to retrieve video affective content. The proposed approach includes two main steps. Firstly, affective script partitions are extracted by detecting emotional words. Secondly, affective partitions are validated by using visual and auditory features. The results are encouraging and compared with the manually labelled ground truth. © 2010 Springer-Verlag.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/12971