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
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) - Proceedings |
| Publisher | IEEE |
| Pages | 164-169 |
| ISBN (Electronic) | 978-1-5386-2159-2 |
| Publication status | Published - Nov 2017 |
Publication series
| Name | International Symposium on Intelligent Signal Processing and Communication Systems ISPACS |
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Conference
| Title | 25th IEEE International Symposium on Intelligent Signal Processing and Communication Systems 2017 (ISPACS 2017) |
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| Location | Wanda Realm Xiamen North Bay Hotel |
| Place | China |
| City | Xiamen |
| Period | 6 - 9 November 2017 |
Link(s)
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 et al.
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
