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ECCV
2010
Springer
13 years 4 months ago
What Does Classifying More Than 10, 000 Image Categories Tell Us?
Image classification is a critical task for both humans and computers. One of the challenges lies in the large scale of the semantic space. In particular, humans can recognize tens...
Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei
ISVC
2009
Springer
13 years 11 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
ICASSP
2011
IEEE
12 years 8 months ago
Beyond bag of words: Combining generative and discriminative models for natural scene categorization
This paper proposes a simple yet new and effective framework by combining generative model and discriminative model for natural scene categorization. A state-of-the-art approach f...
Zhen Li, Kim-Hui Yap, Xiao-Ming Chen
CSL
2002
Springer
13 years 4 months ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy
CIVR
2009
Springer
221views Image Analysis» more  CIVR 2009»
13 years 11 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...