Rate-distortion optimal video summarization: A dynamic programming solution

Zhu Li*, Guido M. Schuster, Aggelos K Katsaggelos, Bhavan Gandhi

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

The need for video summarization originates primarily from a viewing time constraint. A shorter version of the original video sequence is desirable in a number of applications. Clearly, a shorter version is also necessary in applications where storage, communication bandwidth and/or power are limited. Our work is based on a temporal rate-distortion optimization formulation for optimal summary generation. New metrics for video summary distortion are introduced. Optimal algorithms based on dynamic programming are presented along with the results from heuristic algorithms that can produce near optimal results in real time.

Original languageEnglish (US)
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
StatePublished - Sep 28 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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