Video summarization via temporal collaborative representation of adjacent frames

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

  • Mingyang Ma
  • Shaohui Met
  • Junhui Hou
  • Shuai Wan
  • Zhiyong Wang

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publication2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) - Proceedings
PublisherIEEE
Pages164-169
ISBN (Electronic)978-1-5386-2159-2
Publication statusPublished - Nov 2017

Publication series

NameInternational Symposium on Intelligent Signal Processing and Communication Systems ISPACS

Conference

Title25th IEEE International Symposium on Intelligent Signal Processing and Communication Systems 2017 (ISPACS 2017)
LocationWanda Realm Xiamen North Bay Hotel
PlaceChina
CityXiamen
Period6 - 9 November 2017

Abstract

The ever increasing volume of video content demands to develop efficient and effective video summarization (VS) techniques to manage the video data. Recent developments on sparse representation have demonstrated prospective results for VS. In this paper, in consideration of visual similarity of adjacent frames, we formulate the video summarization problem with a temporal collaborative representation (TCR) model, in which the adjacent frames instead of an individual frame are taken into consideration to avoid selecting transitional frames. In addition, a greedy iterative algorithm is designed for model optimization. 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 transitional frames.

Research Area(s)

  • Keyframe, Temporal collaborative representation, Video summarization

Citation Format(s)

Video summarization via temporal collaborative representation of adjacent frames. / Ma, Mingyang; Met, Shaohui; Hou, Junhui; Wan, Shuai; Wang, Zhiyong.

2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) - Proceedings. IEEE, 2017. p. 164-169 (International Symposium on Intelligent Signal Processing and Communication Systems ISPACS).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review