A Comparative Performance Assessment of Different Video Codecs

Author:

Valiandi Ioanna,Panayides Andreas S.ORCID,Kyriacou EfthyvoulosORCID,Pattichis Constantinos S.ORCID,Pattichis Marios S.ORCID

Publisher

Springer Nature Switzerland

Reference21 articles.

1. Dootson, P.: 3.2 Billion Images and 720,000 Hours of Video are Shared Online Daily. Can You Sort Real from Fake? https://www.qut.edu.au/study/business/insights/3.2-billion-images-and-720000-hours-of-video-are-shared-onlinedaily.-can-you-sort-real-from-fake

2. Cisco, Cisco visual networking index: Forecast and trends, 2018–2023, White Paper (2020)

3. Esakki, G., Panayides, A.S., Teeparthi, S., Pattichis, M.S.: A comparative performance evaluation of VP9, X265, SVT-AV1, VVC codecs leveraging the VMAF perceptual quality metric. In: Proceedings of SPIE 11510, Applications of Digital Image Processing XLIII, August 2020. https://doi.org/10.1117/12.2567392

4. Versatile Video Coding (VVC). https://jvet.hhi.fraunhofer.de/

5. Encoder design for SVT-AV1 Scalable Video Technology for AV1 Encoder. https://gitlab.com/AOMediaCodec/SVT-AV1. Accessed Apr 2023

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