Automatic Image Annotation Using Word Embedding Learning

Qi Chen, A. M. Yip, Chew Lim Tan
2012 2012 IEEE 24th International Conference on Tools with Artificial Intelligence  
Automatically annotating words for images is a key to semantic-level image retrieval. Recently, several embedding learning based methods achieve good performance in this task which inspires this paper. Here we propose a novel word embedding model in which both images and words can be represented in the same embedding space. The embedding space is learnt in a discriminative nearest neighbor manner such that the annotation information could be propagated among neighbors. In order to accelerate
more » ... el learning and testing, approximatenearest-neighbor search is performed, and word embedding space is learnt in a stochastic manner. The experimental results demonstrate the effectiveness of the proposed method.
doi:10.1109/ictai.2012.44 dblp:conf/ictai/ChenYT12 fatcat:qlnvkrmegradnohjalnpoauqsa