A Semantic Similarity Language Model to Improve Automatic Image Annotation

In recent years, with the rapid proliferation of digital images, the need to search and retrieve the images accurately, efficiently, and conveniently is becoming more acute. Automatic image annotation with image semantic content has attracted increasing attention, as it is the preprocess of annotation based image retrieval which provides users accurate, efficient, and convenient image retrieval with image understanding. Different machine learning approaches have been used to tackle the problem of automatic image annotation; however, most of them focused on exploring the relationship between images and annotation words and neglected the relationship among the annotation words. In this paper, we propose a framework of using language models to represent the word-to-word relation and thus to improve the performance of existing image annotation approaches utilizing probabilistic models. We also propose a specific language model - the semantic similarity language model to estimate the semant...

• Type: Journal
• Year: 2010
• Where: ICTAI
• Authors: Tianxia Gong, Shimiao Li, Chew Lim Tan
• Keywords: Artificial Intelligence, ICTAI 2010, Image, Image Annotation, Language Model