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

•An all-season tag ranking framework is proposed to handle images with and without distinct objects.•A simple gray histogram descriptor is proposed to describe the saliency map for image pre-classification.•Sparse representation based neighbor voting strategy is proposed for tag relevance ranking.•C...

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Veröffentlicht in:	Journal of visual communication and image representation 2013-10, Vol.24 (7), p.1031-1039
Hauptverfasser:	Feng, Songhe, Lang, Congyan, Liu, Hongzhe, Huang, Xiankai
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive tag ranking Algorithms Applied sciences Artificial intelligence Biological and medical sciences Computer science control theory systems Data processing. List processing. Character string processing Detection, estimation, filtering, equalization, prediction Exact sciences and technology Fundamental and applied biological sciences. Psychology Gray histogram descriptor Image pre-classification Information, signal and communications theory Memory organisation. Data processing Multi-instance learning Pattern recognition. Digital image processing. Computational geometry Perception Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Signal and communications theory Signal, noise Software Sparse representation Tag relevance ranking Tag saliency ranking Telecommunications and information theory Vision Visual attention model
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