Research on key frame extraction algorithm based on deep convolutional neural network in video catalogue

Yibei Chen; Li Zhang; Xinghua Zhang; Yu Zhao; Yao Feng; Yiyong Lin

doi:10.1117/12.2640688

15 July 2022 Research on key frame extraction algorithm based on deep convolutional neural network in video catalogue

Yibei Chen, Li Zhang, Xinghua Zhang, Yu Zhao, Yao Feng, Yiyong Lin

Author Affiliations +

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 1225809 (2022) https://doi.org/10.1117/12.2640688
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

With the gradual improvement of space launch sites image communication system construction, Visual command is increasingly demanding video image retrieval. The previous keyword retrieval method can not meet the requirements of new generation space mission network communication, content-based retrieval need to be developed. In view of the problem that video information is unstructured and cannot be quickly previewed, this paper studies the video key frame extraction algorithm and propose a video key frame extraction algorithm based on convolutional neural network.

Citation Download Citation

Yibei Chen, Li Zhang, Xinghua Zhang, Yu Zhao, Yao Feng, and Yiyong Lin "Research on key frame extraction algorithm based on deep convolutional neural network in video catalogue", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 1225809 (15 July 2022); https://doi.org/10.1117/12.2640688

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE