A Novel Dynamic Bit Rate Analysis Technique for Adaptive Video Streaming over HTTP Support.

Ashok Kumar, Ponnai Manogaran; Arun Raj, Lakshmi Narayanan; Jyothi, B; Soliman, Naglaa F; Bajaj, Mohit; El-Shafai, Walid

Ashok Kumar, Ponnai Manogaran; Arun Raj, Lakshmi Narayanan; Jyothi, B; Soliman, Naglaa F; Bajaj, Mohit; El-Shafai, Walid.

Afiliação

Ashok Kumar PM; Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522 302, India.
Arun Raj LN; Department of Computing Science and Engineering, B.S.A. Crescent Institute of Science and Technology, Vandalur, Chennai 600 048, India.
Jyothi B; Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram 522 302, India.
Soliman NF; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Bajaj M; Department of Electrical Engineering, Graphic Era (Deemed to Be University), Dehradun 248 002, India.
El-Shafai W; Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh 11586, Saudi Arabia.

Sensors (Basel) ; 22(23)2022 Nov 29.

Article em En | MEDLINE | ID: mdl-36502009

Assuntos

Redes Neurais de Computação; Gravação em Vídeo/métodos

Palavras-chave

A-LSTM networks; HTTP; adaptive video streaming; bit rate measurement; clientserver model; reference metrics; video quality

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Índia

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