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Adaptive all-season image tag ranking by saliency-driven image pre-classification

Author
SONGHE FENG1 4 ; CONGYAN LANG1 ; HONGZHE LIU2 ; XIANKAI HUANG3
[1] School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China
[2] Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China
[3] Tourism Institute of Beijing Union University, Beijing, China
[4] Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China
Source

Journal of visual communication and image representation (Print). 2013, Vol 24, Num 7, pp 1031-1039, 9 p ; ref : 25 ref

ISSN
1047-3203
Scientific domain
Computer science
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Adaptive tag ranking Gray histogram descriptor Image pre-classification Multi-instance learning Sparse representation Tag relevance ranking Tag saliency ranking Visual attention model
Keyword (fr)
Apprentissage supervisé Attention visuelle Banque image Classification hiérarchique Classification à vaste marge Critère pertinence Efficacité Etiquetage Histogramme Modèle linéaire Modélisation Méthode adaptative Représentation parcimonieuse Saillance du stimulus Traitement image Vision ordinateur Vote Classification image Recherche image
Keyword (en)
Supervised learning Visual attention Image databank Hierarchical classification Vector support machine Relevance criterion Efficiency Labelling Histogram Linear model Modeling Adaptive method Sparse representation Stimulus salience Image processing Computer vision Voting Image classification Image retrieval
Keyword (es)
Aprendizaje supervisado Atención visual Banco imagen Clasificación jerarquizada Máquina ejemplo soporte Criterio relevancia Eficacia Etiquetaje Histograma Modelo lineal Modelización Método adaptativo Representación parsimoniosa Saliencia del estímulo Procesamiento imagen Visión ordenador Voto Clasificación de imágenes Búsqueda de imagen
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing

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

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction

Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A26 Psychology. Psychophysiology / 002A26E Perception / 002A26E03 Vision

Francis
770 Psychology. Psychoanalysis. Psychiatry / 770-B Psychology. Psychophysiology / 770-B05 Perception / 770-B05C Vision

Discipline
Computer science : theoretical automation and systems Psychology. Ethology Telecommunications and information theory
Origin
Inist-CNRS
Database
FRANCIS ; PASCAL
INIST identifier
27746485

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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