Improving Image Classification Using Semantic Attributes
- Author
- YU SU1 ; JURIE, Frédéric1
[1] GREYC—UMR6072 CNRS, University of Caen, Caen, France - Source
International journal of computer vision. 2012, Vol 100, Num 1, pp 59-77, 19 p ; ref : 3/4 p
- ISSN
- 0920-5691
- Scientific domain
- Cognition; Computer science
- Publisher
- Springer, Heidelberg
- Publication country
- Germany
- Document type
- Article
- Language
- English
- Author keyword
- Bag-of-words model Image classification Semantic attribute Visual words disambiguation
- Keyword (fr)
- Banque image Désambiguïsation Modélisation Polysémie Recherche information Sémantique Traitement image Classification image Sac de mots
- Keyword (en)
- Image databank Disambiguation Modeling Polysemy Information retrieval Semantics Image processing Image classification Bag of words
- Keyword (es)
- Banco imagen Desambiguisación Modelización Polisemia Búsqueda información Semántica Procesamiento imagen Clasificación de imágenes Bolsa de palabras
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 26042177
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s11263-012-0529-4 
https://dx.doi.org/10.1007/s11263-012-0529-4
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