Iterative quantization : a Procrustean approach to learning binary codes for large-scale image retrieval
This paper addresses the problem of learning similarity-preserving binary codes for efficient similarity search in large-scale image collections. We formulate this problem in terms of finding a rotation of zero-centered data so as to minimize the quantization error of mapping this data to the vertic...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 35(2013), 12 vom: 17. Dez., Seite 2916-29
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| 1. Verfasser: |
Gong, Yunchao
(VerfasserIn) |
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| Weitere Verfasser: |
Lazebnik, Svetlana,
Gordo, Albert,
Perronnin, Florent |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2013
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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