CNN based key frame extraction for face in video recognition
Nowadays we see an increasing demand for face in video recognition. However, in order to
overcome the large variations in face quality in video streams, as well as for the purpose of …
overcome the large variations in face quality in video streams, as well as for the purpose of …
KeyFrame extraction based on face quality measurement and convolutional neural network for efficient face recognition in videos
Indexing is the process of extracting a compact, significant and pertinent signature that
describes the content of the data. This field has a broad spectrum of promising applications …
describes the content of the data. This field has a broad spectrum of promising applications …
Efficient video face recognition based on frame selection and quality assessment
A Kharchevnikova, AV Savchenko - PeerJ Computer Science, 2021 - peerj.com
The article is considering the problem of increasing the performance and accuracy of video
face identification. We examine the selection of the several best video frames using various …
face identification. We examine the selection of the several best video frames using various …
Boosting face in video recognition via cnn based key frame extraction
Face in video recognition (FiVR) technology is widely applied in various fields such as video
analytics and real-time video surveillance. However, FiVR technology also faces the …
analytics and real-time video surveillance. However, FiVR technology also faces the …
[PDF][PDF] Small face detection using deep learning on surveillance videos
RJ Cárdenas, CA Beltrán, JC Gutiérrez - environment, 2019 - ijml.org
Face detection is one of the essential tasks widely studied in the field of Computer Vision.
Several authors have developed different techniques to improve the face detection in …
Several authors have developed different techniques to improve the face detection in …
CFSM: a novel frame analyzing mechanism for real-time face recognition system on the embedded system
SL Chu, CF Chen, YC Zheng - Multimedia Tools and Applications, 2022 - Springer
The development of web cameras and smart phones is mature, and more and more facial
recognition-related applications are implemented on embedded systems. The demand for …
recognition-related applications are implemented on embedded systems. The demand for …
A novel robust feature extraction with GSO-optimized extreme learning for age-invariant face recognition
This paper presents a novel age function modelling technique on the basis of the fusion of
local features obtained by local texture descriptors. Initially, image normalization is …
local features obtained by local texture descriptors. Initially, image normalization is …
Video face recognition system: Retinaface-mnet-faster and secondary search
Face recognition is widely used in the scene. However, different visual environments require
different methods, and face recognition has a difficulty in complex environments. Therefore …
different methods, and face recognition has a difficulty in complex environments. Therefore …
[PDF][PDF] Mitigate compression artifacts for face in video recognition
Face in video recognition (FiVR) is widely used in video surveillance and video analytic.
Various solutions have been proposed to improve the performance of face detection, frame …
Various solutions have been proposed to improve the performance of face detection, frame …
Face detection on real low resolution surveillance videos
RJ Cardenas T, CAB Castañón… - Proceedings of the 2nd …, 2018 - dl.acm.org
The use of video cameras for security reasons has increased in recent times. Identify a
person with automatic face detection systems have greater importance today; but the low …
person with automatic face detection systems have greater importance today; but the low …