As today's organizations are capturing exponentially larger amounts of data than ever, now
is the time for organizations to rethink how they digest that data. Through advanced …

Machine learning techniques for feature selection, which include the optimization of feature
descriptor weights and the selection of optimal feature descriptor subset, are desirable to …

Understanding the subjective meaning of a visual query, by converting it into numerical
parameters that can be extracted and compared by a computer, is the paramount challenge …

Image annotation can be formulated as a classification problem. Recently, Adaboost
learning with feature selection has been used for creating an accurate ensemble classifier …

In the last few decades, content-based image retrieval is considered as one of the most vivid
research topics in the field of information retrieval. The limitation of current content-based …

Automatic image annotation (AIA) is a task of assigning one or more semantic concepts to a
given image and a promising way to achieve more effective image retrieval and analysis. It …

With the rapid development of information technology, the capacity of Web images database
becomes larger and larger. How to quickly and effectively find the desired images in Web …

In this paper, a gaze-based Relevance Feedback (RF) approach to region-based image
retrieval is presented. Fundamental idea of the proposed method comprises the iterative …

While providing relevance feedback (RF) by users proves to be an effective method for
content-based image retrieval, how to interpret and learn from the user-provided feedback …

Multimedia information retrieval systems continue to be an active research area in the world
of huge and voluminous data. The paramount challenge is to translate or convert a visual …