A fast and effective method for static video summarization on compressed domain

Antonio Cedillo Hernandez, Manuel Cedillo Hernandez, Francisco Garcia Ugalde, Mariko Nakano Miyatake, Hector Perez Meana

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Current advances in information technologies have led to the creation of huge video databases. Efficient and effective video summarization methods are needed to quickly browse and locate required video content. In this paper, we present a fast and effective video summarization method that is implemented in the compressed domain. Our four-step proposed method relies on a simple yet powerful descriptor and a scene-detection method, to detect gradual and abrupt transitions with great precision. A saliency-based refinement strategy is used to avoid redundancy and represent video content with as few key-frames as possible. Several experiments were done to assess the proposed methods performance, concluding that it is superior to current solutions.

Original languageEnglish
Article number7795828
Pages (from-to)4554-4559
Number of pages6
JournalIEEE Latin America Transactions
Volume14
Issue number11
DOIs
StatePublished - Nov 2016

Keywords

  • Compressed domain
  • Key-Frame Extraction
  • Video Summarization

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