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1
Predicting Episodic Video Memorability using Deep Features ..:
, In:
2022 IEEE/ACIS 20th International Conference on Software Engineering Research, Management and Applications (SERA)
,
Ali, Hasnain
;
Gilani, Syed Omer
;
Khan, Muhammad Jawad
... - p. 39-46 , 2022
Link:
https://doi.org/10.1109/SERA54885.2022.9806761
RT T1 <cTitle>2022 IEEE/ACIS 20th International Conference on Software Engineering Research, Management and Applications (SERA)</cTitle>: T1 <Title>Predicting Episodic Video Memorability using Deep Features Fusion Strategy</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9806761&Exemplar=1&LAN=DE A1 Ali, Hasnain A1 Gilani, Syed Omer A1 Khan, Muhammad Jawad A1 Waris, Asim A1 Khattak, Muazzam Khan A1 Jamil, Mohsin YR 2022 SN 2770-8209 K1 Histograms K1 Visualization K1 Annotations K1 Video sequences K1 Color K1 Feature extraction K1 Proposals K1 Video memorability prediction K1 episodic memory K1 Faster R-CNN K1 Fuzzy based Fast Text K1 Regional Proposal Network K1 Media Eval 2018 datasets SP 39 OP 46 LK http://dx.doi.org/https://doi.org/10.1109/SERA54885.2022.9806761 DO https://doi.org/10.1109/SERA54885.2022.9806761 SF ELIB - SuUB Bremen
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