Results 241 to 250 of about 1,394,849 (273)

Recaptured Image Forensics Based on Quality Aware and Histogram Feature

2017
The recaptured images forensics has drawn much attention in forensics community. The technology can provide some evidences for copyright protection and protect the face spoofing system to a certain degree. In this paper, we propose an algorithm to detect the images recaptured from LCD screen.
Pengpeng Yang, Ruihan Li, Rongrong Ni, Yao Zhao   +3 more
openaire   +1 more source

Stress and Anxiety Measurement "In-the-Wild" Using Quality-aware Multi-scale HRV Features

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Heart rate variability (HRV) has been studied in the context of human behavior analysis and many features have been extracted from the inter-beat interval (RR) time series and tested as correlates of constructs such as mental workload, stress and anxiety. Most studies, however, have been conducted in controlled laboratory environments with artificially-
Abhishek, Tiwari, Shrikanth, Narayanan, Tiago H, Falk   +2 more
openaire   +2 more sources

Quality-aware features-based noise level estimator for block matching and three-dimensional filtering algorithm

Journal of Electronic Imaging, 2016
The performance of conventional denoising algorithms is usually controlled by one or several parameters whose optimal settings depend on the contents of the processed images and the characteristics of the noises. Among these parameters, noise level is a fundamental parameter that is always assumed to be known by most of the existing denoising ...
Shaoping Xu, Lingyan Hu, Xiaohui Yang
openaire   +1 more source

Improved Quality Aware Network Using Quality and Max Pooling Based Late Feature Fusion for Video-Based Person Re-Identification

2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT), 2019
Video-based person re-identification is an important research area in computer vision. Quality Aware Network (QAN) is a model that is robust to noise in the videos. It calculates the weighted average of all the frames' image features, with each frame's quality score as the weight, and generates a video feature.
Yude Shi, Xiao Ke
openaire   +1 more source

A no-reference underwater image quality evaluator via quality-aware features

Journal of Visual Communication and Image Representation, 2023
Siqi Zhang, Yuxuan Li, Lu Tan, Huan Yang, Guojia Hou   +4 more
openaire   +1 more source

No-Reference Underwater Image Quality Assessment Based on Quality-Aware Features

SSRN Electronic Journal, 2022
Yuxuan Li, Guojia Hou, Wanquan Liu, Kunqian Li   +3 more
openaire   +1 more source

Quality-Aware Bag of Modulation Spectrum Features for Robust Speech Emotion Recognition

IEEE Transactions on Affective Computing, 2022
Shruti Rajendra Kshirsagar, Tiago Henrik Falk   +1 more
openaire   +1 more source

No-Reference Video Quality Assessment Using Local Structural and Quality-Aware Deep Features

IEEE Transactions on Instrumentation and Measurement, 2023
Anish Kumar Vishwakarma, Kishor M. Bhurchandi   +1 more
openaire   +1 more source

Clinical insights into small cell lung cancer: Tumor heterogeneity, diagnosis, therapy, and future directions

Ca-A Cancer Journal for Clinicians, 2023
Balazs Dome
exaly  

RGBT tracking based on prior least absolute shrinkage and selection operator and quality aware fusion of deep and handcrafted features

Knowledge-Based Systems, 2023
Seyed Morteza Ghazali, Yasser Baleghi
openaire   +1 more source