Abstract | ||
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This paper introduces the problem of Fine-grained Incident Video Retrieval (FIVR). Given a query video, the objective is to retrieve all associated videos, considering several types of associations that range from duplicate videos to videos from the same incident. FIVR offers a single framework that contains several retrieval tasks as special cases. To address the benchmarking needs of all such ta... |
Year | DOI | Venue |
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2018 | 10.1109/TMM.2019.2905741 | IEEE Transactions on Multimedia |
Keywords | DocType | Volume |
Task analysis,Benchmark testing,YouTube,Internet,Encyclopedias,Electronic publishing | Journal | 21 |
Issue | ISSN | Citations |
10 | 1520-9210 | 2 |
PageRank | References | Authors |
0.40 | 23 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Giorgos Kordopatis-Zilos | 1 | 31 | 7.38 |
Symeon Papadopoulos | 2 | 714 | 71.01 |
Ioannis Patras | 3 | 1960 | 123.15 |
Ioannis Kompatsiaris | 4 | 1404 | 197.36 |