Condensing a sequence to one informative frame for video recognition

Video is complex due to large variations in motion and rich content in fine-grained visual details. Abstracting useful information from such information-intensive media requires exhaustive computing resources. This paper studies a two-step alternative that first condenses the video sequence to an in...

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Bibliographic Details
Main Authors: QIU. Zhaofan, YAO, Ting, SHU, Yan, NGO, Chong-wah, MEI, Tao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/6890
https://ink.library.smu.edu.sg/context/sis_research/article/7893/viewcontent/iccv21.pdf
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Institution: Singapore Management University
Language: English
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