KS‐FQA: Keyframe selection based on face quality assessment for efficient face recognition in video-Reference-Cited by-同舟云学术

KS‐FQA: Keyframe selection based on face quality assessment for efficient face recognition in video

Published:2020-12-06 Issue:1 Volume:15 Page:77-90
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Bahroun Sahbi¹,Abed Rahma¹,Zagrouba Ezzeddine¹

Affiliation:

1. Institut Supérieur d'Informatique, Research Team on Intelligent Systems in Imaging and Artificial Vision (SIIVA) LR16ES06 Laboratoire de recherche en Informatique, Modélisation et Traitement de l'Information et de la Connaissance (LIMTIC) Université de Tunis El Manar 2 Rue Bayrouni Ariana Tunisia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12008

Reference41 articles.

1. A Survey of 2D Face Recognition Techniques

2. Face recognition: challenges, achievements and future directions

3. Literature survey on face and face expression recognition

4. Spatiotemporal Modeling for Video Summarization Using Convolutional Recurrent Neural Network

5. FACE RECOGNITION FROM VIDEO: A REVIEW

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