Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval
This paper proposes a deep hashing framework, namely Unsupervised Deep Video Hashing (UDVH), for largescale video similarity search with the aim to learn compact yet effective binary codes. Our UDVH produces the hash codes in a self-taught manner by jointly integrating discriminative video represent...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2018) vom: 19. Nov.
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| 1. Verfasser: |
Wu, Gengshen
(VerfasserIn) |
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| Weitere Verfasser: |
Han, Jungong,
Guo, Yuchen,
Liu, Li,
Ding, Guiguang,
Ni, Qiang,
Shao, Ling |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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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 |
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