Semantic Representation and Attention Alignment for Graph Information Bottleneck in Video Summarization
dc.contributor.author | Zhong, Rui | |
dc.contributor.author | Wang, Rui | |
dc.contributor.author | Yao, Wenjin | |
dc.contributor.author | Hu, Min | |
dc.contributor.author | Dong, Shi | |
dc.contributor.author | Munteanu, Adrian | |
dc.date.accessioned | 2023-12-19T08:23:44Z | |
dc.date.available | 2023-08-11T16:46:11Z | |
dc.date.available | 2023-12-19T08:23:44Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1057-7149 | |
dc.identifier.other | WOS:001035939400003 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/42324.2 | |
dc.source | WOS | |
dc.title | Semantic Representation and Attention Alignment for Graph Information Bottleneck in Video Summarization | |
dc.type | Journal article | |
dc.date.embargo | 2024-01-13 | |
dc.identifier.doi | 10.1109/TIP.2023.3293762 | |
dc.source.numberofpages | 15 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 4170 | |
dc.source.endpage | 4184 | |
dc.source.journal | IEEE TRANSACTIONS ON IMAGE PROCESSING | |
dc.identifier.pmid | MEDLINE:37440397 | |
dc.source.issue | / | |
dc.source.volume | 32 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This work was supported in part by the National Natural Science Foundation of China under Grant 62002130 and Grant 62201222; in part by the Fundamental Research Funds for the Central Universities under Grant CCNU22QN014, Grant CCNU22XJ034, and Grant CCNU22JC007; in part by the National Key Research and Development Program of China under Grant 2022YFD1700204; and in part by Fonds Wetenschappelijk Onderzoek(FWO), Vlaanderen, under Project G094122N. |