Editorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning

This Special Section of the IEEE Open Journal of Circuits and Systems is dedicated to a collection of articles on Optimized Image/Video Coding based on Deep Learning, to promote techniques in algorithms, implementations, and applications in this highly active field of research. This Special Section...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhibo Chen, Christian Herglotz, Marco Cagnazzo
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Electric apparatus and materials. Electric circuits. Electric networks TK452-454.4
Acceso en línea:	https://doaj.org/article/c3a601135ce84a6ab742ee6dc88c0438
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c3a601135ce84a6ab742ee6dc88c0438
record_format	dspace
spelling	oai:doaj.org-article:c3a601135ce84a6ab742ee6dc88c04382021-11-23T00:02:26ZEditorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning2644-122510.1109/OJCAS.2021.3124408https://doaj.org/article/c3a601135ce84a6ab742ee6dc88c04382021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9623350/https://doaj.org/toc/2644-1225This Special Section of the IEEE Open Journal of Circuits and Systems is dedicated to a collection of articles on Optimized Image/Video Coding based on Deep Learning, to promote techniques in algorithms, implementations, and applications in this highly active field of research. This Special Section covers articles in three categories including end-to-end image/video coding optimization, learning techniques for optimizing traditional image/video codecs, and coding for machine vision applications.Zhibo ChenChristian HerglotzMarco CagnazzoIEEEarticleElectric apparatus and materials. Electric circuits. Electric networksTK452-454.4ENIEEE Open Journal of Circuits and Systems, Vol 2, Pp 611-612 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electric apparatus and materials. Electric circuits. Electric networks TK452-454.4
spellingShingle	Electric apparatus and materials. Electric circuits. Electric networks TK452-454.4 Zhibo Chen Christian Herglotz Marco Cagnazzo Editorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning
description	This Special Section of the IEEE Open Journal of Circuits and Systems is dedicated to a collection of articles on Optimized Image/Video Coding based on Deep Learning, to promote techniques in algorithms, implementations, and applications in this highly active field of research. This Special Section covers articles in three categories including end-to-end image/video coding optimization, learning techniques for optimizing traditional image/video codecs, and coding for machine vision applications.
format	article
author	Zhibo Chen Christian Herglotz Marco Cagnazzo
author_facet	Zhibo Chen Christian Herglotz Marco Cagnazzo
author_sort	Zhibo Chen
title	Editorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning
title_short	Editorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning
title_full	Editorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning
title_fullStr	Editorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning
title_full_unstemmed	Editorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning
title_sort	editorial to the special section on optimized image/video coding based on deep learning
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/c3a601135ce84a6ab742ee6dc88c0438
work_keys_str_mv	AT zhibochen editorialtothespecialsectiononoptimizedimagevideocodingbasedondeeplearning AT christianherglotz editorialtothespecialsectiononoptimizedimagevideocodingbasedondeeplearning AT marcocagnazzo editorialtothespecialsectiononoptimizedimagevideocodingbasedondeeplearning
_version_	1718417401788235776

Editorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning

Ejemplares similares