Multimedia Real-Time Transmission Protocol and Its Application in Video Transmission System.
Journal
Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357
Informations de publication
Date de publication:
2022
2022
Historique:
received:
19
02
2022
revised:
12
04
2022
accepted:
21
04
2022
entrez:
3
6
2022
pubmed:
4
6
2022
medline:
7
6
2022
Statut:
epublish
Résumé
The aim is to provide corresponding quality of service (QoS) guarantee for real-time video data transmission. To ensure the high quality and smooth playback of video sequence at the receiving end, the design of multimedia transmission is made. In view of the shortcomings of selective frame loss, this paper adopts the active frame loss algorithm, which discards the nonkey frames according to the probability. With the increase of the frame loss rate at the transmitter, the proportion of decoded frames increases rapidly and reaches the maximum when the frame loss rate is 0.1. It is proved that active frame loss can control the bit rate more accurately to make full use of bandwidth resources and avoid the waste of bandwidth resources.
Identifiants
pubmed: 35655508
doi: 10.1155/2022/8654756
pmc: PMC9152378
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
8654756Informations de copyright
Copyright © 2022 Xinkan Zhang and Fufeng Chu.
Déclaration de conflit d'intérêts
The authors declare no conflicts of interest.