Multimedia content analysis is applied in different real‐world computer vision applications,
and digital images constitute a major part of multimedia data. In last few years, the …

Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …

With the advent of the era of big data in the world and the commercial value of face
recognition technology, the prospects for face recognition technology are very bright and …

Cross-modality face recognition is an emerging topic due to the wide-spread usage of
different sensors in day-to-day life applications. The development of face recognition …

Video summarization (VSUMM) has become a popular method in processing massive video
data. The key point of VSUMM is to select the key frames to represent the effective contents …

Texture analysis is widely performed in the current time as it is considered as an intimate
property of the surface. It is widely used in the field of image processing, remote sensing …

Singular spectral analysis (SSA) has recently been successfully applied to feature extraction
in hyperspectral image (HSI), including conventional (1-D) SSA in spectral domain and 2-D …

In this paper, we propose a new supervision objective named uniform loss to learn deep
equidistributed representations for face recognition. Most existing methods aim to learn …

Image registration is an important technique in many computer vision applications such as
image fusion, image retrieval, object tracking, face recognition, change detection and so on …

Many hybrid and multimodal biometric recognition techniques have been presented to
provide secure and authentic systems, incorporating both soft and hard biometric schemes …