Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …

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 …

Recently, many researches have demonstrated that the attention mechanism has great
potential in improving the performance of deep convolutional neural networks (CNNs) …

The explosive growth of biometrics use (eg, in surveillance) poses a persistent challenge to
keep biometric data private without sacrificing the apps' functionality. We consider private …

Subspace is widely used to represent objects under different viewpoints, illuminations,
identities, and more. Due to the growing amount and dimensionality of visual contents, fast …

Biometry based authentication and recognition have attracted greater attention due to
numerous applications for security-conscious societies, since biometrics brings accurate …

Since biometric features are unique to each person and deliver precise identification, they
are preferred for applications where security is very important recently. Recognition and …

This paper presents a novel framework to extract highly compact and discriminative features
for face video retrieval tasks using the deep convolutional neural network (CNN). The face …

Football is a beloved sport, and its wide audience makes football video one of the most
analytically valuable types of video. Researchers have achieved certain research results in …

In our daily life, a large number of activities require identity verification, eg, ePassport gates.
Most of those verification systems recognize who you are by matching the ID document …