Automatic image annotation empowers the user to search an image database using
keywords, which is often a more practical option than a query-by-example approach. In this …

Automatically assigning keywords to images is of great interest as it allows one to index,
retrieve, and understand large collections of image data. Many techniques have been …

With the popularity of digital cameras, more and more people have accumulated
considerable digital images on their personal devices. As a result, there are increasing …

Automatically assigning keywords to images is of great interest as it allows one to retrieve,
index, organize and understand large collections of image data. Many techniques have …

Automatic image annotation is an important but highly challenging problem in semantic-
based image retrieval. In this paper, we formulate image annotation as a supervised …

Automatic image annotation can be used to facilitate semantic search in large image
databases. However, retrieval performance of the existing annotation schemes is far from …

Automatic image annotation is crucial for keyword-based image retrieval because it can be
used to improve the textual description of images. In this paper, we propose a unified …

With the prevalence of digital cameras, more and more people have considerable digital
images on their personal devices. As a result, there are increasing needs to effectively …

In this paper, a hierarchical classification framework has been proposed for bridging the
semantic gap effectively and achieving multi-level image annotation automatically. First, the …

This paper presents a generalized relevance model for automatic image annotation through
learning the correlations between images and annotation keywords. Unlike previous …