TY - JOUR
T1 - A Comprehensive Survey on Video Summarization
T2 - Challenges and Advances
AU - Li, Hongxi
AU - Zhu, Yubo
AU - Shang, Zirui
AU - Wang, Ziyi
AU - Wu, Xinxiao
N1 - Publisher Copyright:
© 1991-2012 IEEE.
PY - 2026
Y1 - 2026
N2 - Video data is growing exponentially daily due to the popularity of video-sharing platforms and the proliferation of video capture devices. The video summarization task has been proposed to remove redundancy while maintaining as many critical parts of the video as possible so that users can browse and process videos more effectively, which has received increasing attention from researchers. The existing research addresses the challenges faced by video summarization methods from various perspectives, such as temporal dependency, data scarcity, user preference, and high precision. This paper reviews representative and state-of-the-art methods, analyzes recent research advances, datasets, and performance evaluations, and discusses future directions. We hope this survey can help future research explore the potential directions of video summarization methods.
AB - Video data is growing exponentially daily due to the popularity of video-sharing platforms and the proliferation of video capture devices. The video summarization task has been proposed to remove redundancy while maintaining as many critical parts of the video as possible so that users can browse and process videos more effectively, which has received increasing attention from researchers. The existing research addresses the challenges faced by video summarization methods from various perspectives, such as temporal dependency, data scarcity, user preference, and high precision. This paper reviews representative and state-of-the-art methods, analyzes recent research advances, datasets, and performance evaluations, and discusses future directions. We hope this survey can help future research explore the potential directions of video summarization methods.
KW - Video summarization
KW - deep learning
KW - query-focused video sumarization
KW - unsupervised video summarization
KW - weakly-supervised video summarization
UR - https://www.scopus.com/pages/publications/105013060850
U2 - 10.1109/TCSVT.2025.3596006
DO - 10.1109/TCSVT.2025.3596006
M3 - Review article
AN - SCOPUS:105013060850
SN - 1051-8215
VL - 36
SP - 1216
EP - 1233
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
IS - 1
ER -