Temporal modeling of slide change in presentation videos

Quanfu Fan, Amon Amir, Kobus Barnard, Ranjini Swaminathan, Alon Efrat

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

13 Scopus citations

Abstract

We develop a general framework to automatically match electronic slides to the videos of the corresponding presentations. The synchronized slides support indexing and browsing of educational and corporate digital video libraries. Our approach extends previous work that matches slides, based on visual features alone, and integrates multiple cues to, further improve performance in more difficult cases. We model slide change in a presentation with a dynamic Hidden Markov Model (ITMM) that captures the temporal notion of slide change and whose transition probabilities are adapted locally by using the camera events in the inference process, Our results show that, combining multiple, cues in a state model can greatly improve, the performance in ambiguous cases.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesI989-I992
DOIs
StatePublished - Aug 6 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume1
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period4/15/074/20/07

Keywords

  • Algorithm
  • Cameras
  • Image matching

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Temporal modeling of slide change in presentation videos'. Together they form a unique fingerprint.

Cite this