Integrating low-level and semantic features for object consistent segmentation : Intelligent Processing Techniques for Semantic-based Image and Video Retrieval
- Author
- HAO FU1 ; GUOPING QIU1
[1] School of Computer Science, University of Nottingham, Nottingham, United Kingdom - Source
Neurocomputing (Amsterdam). 2013, Vol 119, pp 74-81, 8 p ; ref : 34 ref
- ISSN
- 0925-2312
- Scientific domain
- Cognition; Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Feedback mechanism Object-like regions Semantic segmentation
- Keyword (fr)
- Interprétation image Modèle linguistique Pixel Résultat expérimental Sémantique Vision ordinateur Segmentation image
- Keyword (en)
- Image interpretation Linguistic model Pixel Experimental result Semantics Computer vision Image segmentation
- Keyword (es)
- Interpretación imágen Modelo linguístico Pixel Resultado experimental Semántica Visión ordenador Segmentación de imágenes
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A04 Logical, boolean and switching functions
- 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
- 27656840
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
10.1016/j.neucom.2012.01.050 
https://dx.doi.org/10.1016/j.neucom.2012.01.050
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