Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval
Images from social media can reflect diverse viewpoints, heated arguments, and expressions of creativity, adding new complexity to retrieval tasks. Researchers working on Content-Based Image Retrieval (CBIR) have traditionally tuned their algorithms to match filtered results with user search intent....
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 02., Seite 6892-6905
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1. Verfasser: |
Brogan, Joel
(VerfasserIn) |
Weitere Verfasser: |
Bharati, Aparna,
Moreira, Daniel,
Rocha, Anderson,
Bowyer, Kevin W,
Flynn, Patrick J,
Scheirer, Walter J |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2021
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Schlagworte: | Journal Article |