Remote sensing is mainly used to investigate sites of dams, bridges, and pipelines to locate
construction materials and provide detailed geographic information. In remote sensing …

The content based image retrieval aims to find the similar images from a large scale dataset
against a query image. Generally, the similarity between the representative features of the …

Remote sensing (RS) image retrieval is of great significant for geological information mining.
Over the past two decades, a large amount of research on this task has been carried out …

Getting a good feature representation of data is paramount for Human Activity Recognition
(HAR) using wearable sensors. An increasing number of feature learning approaches—in …

Image analysis is a prolific field of research which has been broadly studied in the last
decades, successfully applied to a great number of disciplines. Since the apparition of Big …

Emergency events involving fire are potentially harmful, demanding a fast and precise
decision making. The use of crowd sourcing image and videos on crisis management …

In the 17 years since the first edition of Fundamentals of Multimedia, the field and
applications of multimedia have flourished and are undergoing evermore rapid growth and …

Storage services allow data owners to store their huge amount of potentially sensitive data,
such as audios, images, and videos, on remote cloud servers in encrypted form. To enable …

This paper presents a comparative study of color and texture descriptors considering the
Web as the environment of use. We take into account the diversity and large-scale aspects …

In this article, we present an extensive evaluation of visual descriptors for the content-based
retrieval of remote-sensing (RS) images. The evaluation includes global hand-crafted, local …