Intelligent home video management system

Szu-Hao Huang*, Qi Jiunn Wu, Kai Yeuh Chang, Hsin Cheang Lin, Shang Hong Lai, Wen Hao Wang, Yu Sheng Tsai, Chia Lun Chen, Guan Rong Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

An integrated intelligent home video management system was proposed in this paper. Five different types of multimedia representative features were computed as the basis of the home video management system. With the aid of some machine learning techniques, such as SVM, neural network, adaboost algorithm, and the K-means clustering algorithm, we develop six main applications based on this system. These applications include detection of abnormal camera operation, shot boundary detection, fast-pan detection, face shot identification, key-frame extraction, and variable length video abstraction. Our system can help inexpert digital camcorder users manage their home video effectively in a smart way.

Original languageEnglish
Title of host publicationITRE 2005 - 3rd International Conference on Information Technology
Subtitle of host publicationResearch and Education - Proceedings
Pages176-180
Number of pages5
DOIs
StatePublished - 1 Dec 2005
EventITRE 2005 - 3rd International Conference on Information Technology: Research and Education - Hsinchu, Taiwan
Duration: 27 Jun 200530 Jun 2005

Publication series

NameITRE 2005 - 3rd International Conference on Information Technology: Research and Education - Proceedings
Volume2005

Conference

ConferenceITRE 2005 - 3rd International Conference on Information Technology: Research and Education
Country/TerritoryTaiwan
CityHsinchu
Period27/06/0530/06/05

Keywords

  • Abnormal camcorder shooting detection
  • Face shot identification
  • Fast-pan elimination
  • Home Video Management System
  • Key frame extraction
  • Shot boundary detection
  • Variable length video abstraction

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