Shot classification using domain specific features for movie management

Muhammad Abul Hasan; Min Xu; Xiangjian He; Ling Chen

doi:10.1007/978-3-642-29035-0_28

Shot classification using domain specific features for movie management

Muhammad Abul Hasan, Min Xu, Xiangjian He, Ling Chen

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

3 Citations (Scopus)

Abstract

Among many video types, movie content indexing and retrieval is a significantly challenging task because of the wide variety of shooting techniques and the broad range of genres. A movie consists of a series of video shots. Managing a movie at shot level provides a feasible way for movie understanding and summarization. Consequently, an effective shot classification is greatly desired for advanced movie management. In this demo, we explore novel domain specific features for effective shot classification. Experimental results show that the proposed method classifies movie shots from wide range of movie genres with improved accuracy compared to existing work.

Original language	English
Title of host publication	Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings
Pages	314-318
Number of pages	5
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-29035-0_28
Publication status	Published - 2012
Externally published	Yes
Event	17th International Conference on Database Systems for Advanced Applications, DASFAA 2012 - Busan, Korea, Republic of Duration: 15 Apr 2012 → 18 Apr 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7239 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Database Systems for Advanced Applications, DASFAA 2012
Country/Territory	Korea, Republic of
City	Busan
Period	15/04/12 → 18/04/12

Keywords

SVM classification
context saliency
movie management

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-29035-0_28

Cite this

Hasan, M. A., Xu, M., He, X., & Chen, L. (2012). Shot classification using domain specific features for movie management. In Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings (PART 2 ed., pp. 314-318). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7239 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-29035-0_28

Hasan, Muhammad Abul ; Xu, Min ; He, Xiangjian et al. / Shot classification using domain specific features for movie management. Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings. PART 2. ed. 2012. pp. 314-318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{157f9a63bb9f455eb15cf808ca0a6289,

title = "Shot classification using domain specific features for movie management",

abstract = "Among many video types, movie content indexing and retrieval is a significantly challenging task because of the wide variety of shooting techniques and the broad range of genres. A movie consists of a series of video shots. Managing a movie at shot level provides a feasible way for movie understanding and summarization. Consequently, an effective shot classification is greatly desired for advanced movie management. In this demo, we explore novel domain specific features for effective shot classification. Experimental results show that the proposed method classifies movie shots from wide range of movie genres with improved accuracy compared to existing work.",

keywords = "SVM classification, context saliency, movie management",

author = "Hasan, {Muhammad Abul} and Min Xu and Xiangjian He and Ling Chen",

note = "Funding Information: This research was supported by National Natural Science Foundation of China No. 61003161 and UTS ECR grant.; 17th International Conference on Database Systems for Advanced Applications, DASFAA 2012 ; Conference date: 15-04-2012 Through 18-04-2012",

year = "2012",

doi = "10.1007/978-3-642-29035-0_28",

language = "English",

isbn = "9783642290343",

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

number = "PART 2",

pages = "314--318",

booktitle = "Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings",

edition = "PART 2",

}

Hasan, MA, Xu, M, He, X & Chen, L 2012, Shot classification using domain specific features for movie management. in Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, 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. 7239 LNCS, pp. 314-318, 17th International Conference on Database Systems for Advanced Applications, DASFAA 2012, Busan, Korea, Republic of, 15/04/12. https://doi.org/10.1007/978-3-642-29035-0_28

Shot classification using domain specific features for movie management. / Hasan, Muhammad Abul; Xu, Min; He, Xiangjian et al.
Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings. PART 2. ed. 2012. p. 314-318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7239 LNCS, No. PART 2).

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

TY - GEN

T1 - Shot classification using domain specific features for movie management

AU - Hasan, Muhammad Abul

AU - Xu, Min

AU - He, Xiangjian

AU - Chen, Ling

N1 - Funding Information: This research was supported by National Natural Science Foundation of China No. 61003161 and UTS ECR grant.

PY - 2012

Y1 - 2012

N2 - Among many video types, movie content indexing and retrieval is a significantly challenging task because of the wide variety of shooting techniques and the broad range of genres. A movie consists of a series of video shots. Managing a movie at shot level provides a feasible way for movie understanding and summarization. Consequently, an effective shot classification is greatly desired for advanced movie management. In this demo, we explore novel domain specific features for effective shot classification. Experimental results show that the proposed method classifies movie shots from wide range of movie genres with improved accuracy compared to existing work.

AB - Among many video types, movie content indexing and retrieval is a significantly challenging task because of the wide variety of shooting techniques and the broad range of genres. A movie consists of a series of video shots. Managing a movie at shot level provides a feasible way for movie understanding and summarization. Consequently, an effective shot classification is greatly desired for advanced movie management. In this demo, we explore novel domain specific features for effective shot classification. Experimental results show that the proposed method classifies movie shots from wide range of movie genres with improved accuracy compared to existing work.

KW - SVM classification

KW - context saliency

KW - movie management

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U2 - 10.1007/978-3-642-29035-0_28

DO - 10.1007/978-3-642-29035-0_28

M3 - Conference contribution

AN - SCOPUS:84860691227

SN - 9783642290343

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

SP - 314

EP - 318

BT - Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings

T2 - 17th International Conference on Database Systems for Advanced Applications, DASFAA 2012

Y2 - 15 April 2012 through 18 April 2012

ER -

Hasan MA, Xu M, He X, Chen L. Shot classification using domain specific features for movie management. In Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings. PART 2 ed. 2012. p. 314-318. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-29035-0_28

Shot classification using domain specific features for movie management

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this