Improved Resulted Word Counts Optimizer for Automatic Image Annotation Problem
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
A framework for evaluating automatic image annotation algorithms
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Improved Resulted Word Counts Optimizer for Automatic Image Annotation Problem
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
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Image auto-annotation problem grows more and more popular among the literature. There are many approaches presented, but also many ways to measure the quality of those methods. This paper discusses various quality measures for the image auto-annotation problem. We focus on comparing them and discussing their important features. Experiments and achieved results are presented for a number of auto-annotation methods.