Off-line automatic virtual director for lecture video

Di Wei Huang, Yu Tzu Lin, Greg C. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This research proposed an automatic mechanism to refine the lecture video by composing meaningful video clips from multiple cameras. In order to maximize the captured video information and produce a suitable lecture video for learners, video content should be analysed by considering both visual and audio information firstly. Meaningful events were then detected by extracting lecturer’s and learners’ behaviours according to teaching and learning principles in class. An event-driven camera switching strategy was derived to change the camera view to a meaningful one based on the finite state machine. The final lecture video was then produced by composing all meaningful video clips. The experiment results show that learners felt interested and comfortable while watching the lecture video, and also agreed with the meaningfulness of the selected video clips.

Original languageEnglish
Title of host publicationAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
PublisherSpringer Verlag
Number of pages1
ISBN (Print)9789400772618
DOIs
Publication statusPublished - 2014 Jan 1
EventAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 - , Taiwan
Duration: 2013 Aug 232013 Aug 25

Publication series

NameLecture Notes in Electrical Engineering
Volume260
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceAdvanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
CountryTaiwan
Period13/8/2313/8/25

Keywords

  • Lecture video analysis
  • Video composition
  • Video content analysis
  • Virtual director

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Huang, D. W., Lin, Y. T., & Lee, G. C. (2014). Off-line automatic virtual director for lecture video. In Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 (Lecture Notes in Electrical Engineering; Vol. 260). Springer Verlag. https://doi.org/10.1007/978-94-007-7262-5_144