Feb 24, 2014 · The experimental results on Corel 5K and MIR Flickr demonstrate that our model performs better than other previous methods. And two-phase ...
A Two-Phase Generation Model for Automatic Image Annotation. L. Xie, P. Pan, Y. Lu, S. Wang, T. Zhu, H. Xu, and D. Chen. ISM, page 155-162.
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In other words, our approach prunes specific features for each single label and formalizes the annotation task as a discriminative classification problem.
Automatic classification can allocate images or image regions to specific object classes and automatic annotation also aims to add descriptive labels to images.
Apr 4, 2014 · ABSTRACT. In this work, we present a hybrid model (SVM-DMBRM) combining a generative and a discriminative model for the image annotation ...
In this paper, we present a two-stage method for multi-class image labeling. We first introduce a simple label-filtering algorithm, which can remove most of the ...
In this paper, we introduce a semantic vocabulary cognition model to improve the image annotation result. In the training process, images are annotated using ...
Abstract—Abstract Humans can view an image and immedi- ately determine what the image is trying to convey. While this may be an easy event for humans, ...
In this research, a novel two-phase object-based deep learning approach is proposed for multi-temporal SAR image change detection.
The prototypes are generated in learning phase using a clustering technique. The input unlabeled images are assigned to the nearest prototypes in both feature ...