We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

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 …

The last decade has witnessed great interest in research on content-based image retrieval.
This has paved the way for a large number of new techniques and systems, and a growing …

Many social image search engines are based on keyword/tag matching. This is because tag-
based image retrieval (TBIR) is not only efficient but also effective. The performance of TBIR …

The Bag-of-Words (BoW) model is a promising image representation technique for image
categorization and annotation tasks. One critical limitation of existing BoW models is that …

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 …

Learning visual classifiers for object recognition from weakly labeled data requires
determining correspondence between image regions and semantic object classes. Most …

Image annotation has been an active research topic in recent years due to its potential
impact on both image understanding and web image search. In this paper, we propose a …

This paper is concerned with the task of automatically generating captions for images, which
is important for many image-related applications. Examples include video and image …

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 …