Using scripts for affective content retrieval

Min Xu; Xiangjian He; Jesse S. Jin; Yu Peng; Changsheng Xu; Wen Guo

doi:10.1007/978-3-642-15696-0_5

Using scripts for affective content retrieval

Min Xu, Xiangjian He, Jesse S. Jin, Yu Peng, Changsheng Xu, Wen Guo

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
Pages	43-51
Number of pages	9
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-15696-0_5
Publication status	Published - 2010
Externally published	Yes
Event	11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China Duration: 21 Sept 2010 → 24 Sept 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6298 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th Pacific Rim Conference on Multimedia, PCM 2010
Country/Territory	China
City	Shanghai
Period	21/09/10 → 24/09/10

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-15696-0_5

Cite this

Xu, M., He, X., Jin, J. S., Peng, Y., Xu, C., & Guo, W. (2010). Using scripts for affective content retrieval. In Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings (PART 2 ed., pp. 43-51). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6298 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-15696-0_5

Xu, Min ; He, Xiangjian ; Jin, Jesse S. et al. / Using scripts for affective content retrieval. Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings. PART 2. ed. 2010. pp. 43-51 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{77f3fd5f8fcb4c0bb1b58ab06ba88d5f,

title = "Using scripts for affective content retrieval",

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.",

author = "Min Xu and Xiangjian He and Jin, {Jesse S.} and Yu Peng and Changsheng Xu and Wen Guo",

year = "2010",

doi = "10.1007/978-3-642-15696-0_5",

language = "English",

isbn = "3642156959",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "43--51",

booktitle = "Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings",

edition = "PART 2",

note = "11th Pacific Rim Conference on Multimedia, PCM 2010 ; Conference date: 21-09-2010 Through 24-09-2010",

}

Xu, M, He, X, Jin, JS, Peng, Y, Xu, C & Guo, W 2010, Using scripts for affective content retrieval. in Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6298 LNCS, pp. 43-51, 11th Pacific Rim Conference on Multimedia, PCM 2010, Shanghai, China, 21/09/10. https://doi.org/10.1007/978-3-642-15696-0_5

Using scripts for affective content retrieval. / Xu, Min; He, Xiangjian; Jin, Jesse S. et al.
Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings. PART 2. ed. 2010. p. 43-51 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6298 LNCS, No. PART 2).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Using scripts for affective content retrieval

AU - Xu, Min

AU - He, Xiangjian

AU - Jin, Jesse S.

AU - Peng, Yu

AU - Xu, Changsheng

AU - Guo, Wen

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=78049451907&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-15696-0_5

DO - 10.1007/978-3-642-15696-0_5

M3 - Conference contribution

AN - SCOPUS:78049451907

SN - 3642156959

SN - 9783642156953

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 43

EP - 51

BT - Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings

T2 - 11th Pacific Rim Conference on Multimedia, PCM 2010

Y2 - 21 September 2010 through 24 September 2010

ER -

Xu M, He X, Jin JS, Peng Y, Xu C, Guo W. Using scripts for affective content retrieval. In Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings. PART 2 ed. 2010. p. 43-51. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-15696-0_5

Using scripts for affective content retrieval

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this