27 search results - page 1 / 6 » Fisher Kernels on Visual Vocabularies for Image Categorizati... |
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
The bag-of-words (BoW) model treats images as an unordered set of local regions and represents them by visual word histograms. Implicitly, regions are assumed to be identically an...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Several state-of-the-art Generic Visual Categorization (GVC) systems are built around a vocabulary of visual terms and characterize images with one histogram of visual word counts....
PCM
2009
Springer
13 years 11 months ago
2009
Springer
Recently, the bag-of-words (BOW) based image representation is getting popular in object categorization. However, there is no available visual vocabulary and it has to be learned. ...
CIVR
2007
Springer
13 years 11 months ago
2007
Springer
Bag-of-features (BoF) deriving from local keypoints has recently appeared promising for object and scene classification. Whether BoF can naturally survive the challenges such as ...