Video Summarization via Simultaneous Block Sparse Representation

Mingyang Ma, Shaohui Mei, Shuai Wan, Junhui Hou, Zhiyong Wang, Dagan Feng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

With the ever increasing volume of video content, efficient and effective video summarization (VS) techniques are urgently demanded to manage the large amount of video data. Recent developments on sparse representation based approaches have demonstrated promising results for VS. While most existing approaches treat each frame independently, in this paper, the block-sparsity, which means the keyframes or non-keyframes occur in blocks due to the content similarity in a same frame block, is taken into account. Therefore, the video summarization problem is formulated as a simultaneous block sparse representation model. For model optimization, simultaneous block orthogonal matching pursuit (SBOMP) algorithms are designed to extract keyframes. Experimental results on a benchmark dataset with various types of videos demonstrate that the proposed algorithms can not only outperform the state of the art, but also reduce the probability of selecting non-informative frames and »outlier»frames.

Original languageEnglish
Title of host publicationDICTA 2017 - 2017 International Conference on Digital Image Computing
Subtitle of host publicationTechniques and Applications
EditorsYi Guo, Manzur Murshed, Zhiyong Wang, David Dagan Feng, Hongdong Li, Weidong Tom Cai, Junbin Gao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781538628393
DOIs
StatePublished - 19 Dec 2017
Event2017 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2017 - Sydney, Australia
Duration: 29 Nov 20171 Dec 2017

Publication series

NameDICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications
Volume2017-December

Conference

Conference2017 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2017
Country/TerritoryAustralia
CitySydney
Period29/11/171/12/17

Keywords

  • Block-sparsity
  • Frame block
  • Matching pursuit
  • Video summarization

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