311 search results - page 17 / 63 » Learning Distance Functions for Automatic Annotation of Imag... |
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...
DAGM
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge is to dete...
CIARP
2007
Springer
14 years 2 months ago
2007
Springer
Segmentation through seeded region growing is widely used because it is fast, robust and free of tuning parameters. However, the seeded region growing algorithm requires an automat...
PAMI
2008
13 years 7 months ago
2008
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
BMVC
2010
13 years 5 months ago
2010
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...