Nowadays, more and more images are available. However, to find a required image for an
ordinary user is a challenging task. Large amount of researches on image retrieval have …

Automatic image annotation (AIA) plays a vital role in dealing with the exponentially growing
digital images. Image annotation helps in effective retrieval, organization, classification, auto …

The explosive growth of image data leads to the research and development of Content-
Based Image Retrieval (CBIR) systems. CBIR systems extract and retrieve images by their …

Recently, much attention has been given to image annotation due to the massive increase in
image data volume. One of the image retrieval methods which guarantees the retrieval of …

Automatic image annotation (AIA), a highly popular topic in the field of information retrieval
research, has experienced significant progress within the last decade. Yet, the lack of a …

Image annotation has been an active research topic in recent years due to its potentially
large impact on both image understanding and Web image search. In this paper, we target …

We propose simple and effective models for the image annotation that make use of
Convolutional Neural Network (CNN) features extracted from an image and word …

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 …

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 …

In recent years, image annotation has attracted extensive attention due to the explosive
growth of image data. With the capability of describing images at the semantic level, image …