Shot classification using domain specific features for movie management

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

Research output: Chapter in Book/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 17th International Conference, DASFAA 2012, Proceedings
Pages314-318
Number of pages5
EditionPART 2
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event17th International Conference on Database Systems for Advanced Applications, DASFAA 2012 - Busan, Korea, Republic of
Duration: 15 Apr 201218 Apr 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7239 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Database Systems for Advanced Applications, DASFAA 2012
Country/TerritoryKorea, Republic of
CityBusan
Period15/04/1218/04/12

Keywords

  • context saliency
  • movie management
  • SVM classification

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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