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ICMCS
2009
IEEE
102views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Visual word pairs for automatic image annotation
The bag-of-visual-words is a popular representation for images that has proven to be quite effective for automatic annotation. In this paper, we extend this representation in orde...
Nicolas Hervé, Nozha Boujemaa
ISVC
2009
Springer
14 years 2 months ago
Scene Categorization by Introducing Contextual Information to the Visual Words
In this paper, we propose a novel scene categorization method based on contextual visual words. In this method, we extend the traditional ‘bags of visual words’ model by introd...
Jianzhao Qin, Nelson H. C. Yung
MM
2010
ACM
199views Multimedia» more  MM 2010»
13 years 7 months ago
TOP-SURF: a visual words toolkit
TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of conte...
Bart Thomee, Erwin M. Bakker, Michael S. Lew
CIVR
2009
Springer
221views Image Analysis» more  CIVR 2009»
14 years 2 months ago
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Movies segmentation into semantically correlated units is a quite tedious task due to ”semantic gap”. Low-level features do not provide useful information about the semantical...
Vasileios Chasanis, Argyris Kalogeratos, Aristidis...
ICCV
2011
IEEE
12 years 7 months ago
Visual Word Disambiguation by Semantic Contexts
This paper presents a novel schema to address the polysemy of visual words in the widely used bag-of-words model. As a visual word may have multiple meanings, we show it is possib...
Yu Su, Frederic Jurie