Abstract In Machine Learning (ML), Feature Selection (FS) plays a crucial part in reducing
data's dimensionality and enhancing any proposed framework's performance. However, in …

The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for develo** highly effective retrieval systems to satisfy …

In this paper, we present a new idea to analyze facial expression by exploring some
common and specific information among different expressions. Inspired by the observation …

The emerging compressed sensing (CS) theory can significantly reduce the number of
sampling points that directly corresponds to the volume of data collected, which means that …

The face is one of the most powerful channel of non-verbal communication. The most
commonly used taxonomy to describe facial behaviour is the Facial Action Coding System …

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 …

Organ shape plays an important role in various clinical practices, eg, diagnosis, surgical
planning and treatment evaluation. It is usually derived from low level appearance cues in …

This book provides a complete overview of the concepts, algorithms, and applications
related to background modeling and foreground detection. It presents the top methods and …

Recently two lines of image retrieval algorithms demonstrate excellent scalability: 1) local
features indexed by a vocabulary tree, and 2) holistic features indexed by compact hashing …

The real world image databases such as Flickr are characterized by continuous addition of
new images. The recent approaches for image annotation, ie the problem of assigning tags …