TY - GEN
T1 - Video summarization via temporal collaborative representation of adjacent frames
AU - Ma, Mingyang
AU - Met, Shaohui
AU - Hou, Junhui
AU - Wan, Shuai
AU - Wang, Zhiyong
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - 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.
AB - 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.
KW - Keyframe
KW - Temporal collaborative representation
KW - Video summarization
UR - http://www.scopus.com/inward/record.url?scp=85047471321&partnerID=8YFLogxK
U2 - 10.1109/ISPACS.2017.8266466
DO - 10.1109/ISPACS.2017.8266466
M3 - 会议稿件
AN - SCOPUS:85047471321
T3 - 2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings
SP - 164
EP - 169
BT - 2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017
Y2 - 6 November 2017 through 9 November 2017
ER -