The priority curve algorithm for video summarization

M. Albanese*, M. Fayzullin, A. Picariello, V. S. Subrahmanian

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

In this paper, we introduce the concept of a priority curve associated with a video. We then provide an algorithm that can use the priority curve to create a summary (of a desired length) of any video. The summary thus created exhibits nice continuity properties and also avoids repetition. We have implemented the priority curve algorithm (PriCA) and compared it with other summarization algorithms in the literature with respect to both performance and the output quality. The quality of summaries was evaluated by a group of 200 students in Naples, Italy, who watched soccer videos. We show that PriCA is faster than existing algorithms and also produces better quality summaries. We also briefly describe a soccer video summarization system we have built on using the PriCA architecture and various (classical) image processing algorithms.

Original languageEnglish (US)
Pages (from-to)679-695
Number of pages17
JournalInformation Systems
Volume31
Issue number7
DOIs
StatePublished - Nov 2006
Externally publishedYes

Funding

We thank the anonymous reviewers for many excellent comments that have significantly improved the quality of the paper. This work was supported in part by the Army Research Lab under contracts DAAL0197K0135 and DAAD190320026, the CTA on Advanced Decision Architectures, by ARO contracts DAAD190010484 and DAAD190310202, by DARPA/RL contract number F306029910552, and by NSF grants 0205489 and IIS0329851.

Keywords

  • Content based retrieval
  • Video databases
  • Video summarization

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture

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