Decolorization is a fundamental technology indispensable for image processing, digital
printing, and photograph rendering, while it suffers from information loss. This paper …

One of the main challenges of detection and tracking of objects in video monitoring is the
lighting conditions of the scene under surveillance and its variations. Due to the availability …

The task of fast object tracking in polar images using emerging high-resolution 360-degree
camera technology is presented in this paper. In this approach, when an arbitrary object has …

This paper develops a classical visual tracker that is called a discriminative sparse similarity
(DSS) tracker. Based on the classical Laplacian multi-task reverse sparse representation to …

Foreground targets localization in video sequences receives much popularity in computer
vision during the past few years, and its studies are highly related toward machine learning …

This paper presents a novel wavelet method based on a prior model of wavelet coefficient
with a generalized bivariate distribution function. The generalized bivariate prior model …

Despite the great evolution in the field of quality metrics, classical tools such as the PSNR
remain useful in the field of evolution of video coding research. Our idea is to improve the …

The problem we are trying to solve in this paper is the authenticity identification of speaker
digital recording data. As an important basis of the judicial identification, it is crucial to …

Reversible image watermarking schemes are used to protect ownership and copyrights of
digital images. This paper proposes a novel reversible image watermarking scheme based …

In this work, we address a novel and practical problem of automatically generating a room
design from given room function and basic geometry, which can be described as picking …