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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Main Authors: | QIU. Zhaofan, YAO, Ting, SHU, Yan, NGO, Chong-wah, MEI, Tao |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
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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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