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
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

8654756

Informations de copyright

Copyright © 2022 Xinkan Zhang and Fufeng Chu.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Auteurs

Xinkan Zhang (X)

Minnan Science and Technology University, Quanzhou, Fujian 362332, China.

Fufeng Chu (F)

Xiamen University Tan Kah Kee College, Zhangzhou, Fujian 363105, China.

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Classifications MeSH