EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Versatile Video Coding Vvc Machine Learning And Heuristics Mrio Saldanha

Name: Versatile Video Coding Vvc Machine Learning And Heuristics Mrio Saldanha
SKU: BELL-47257394
Price: 31.00 USD
Availability: InStock
Rating: 4.7 (106 reviews)

SKU: BELL-47257394

$ 31.00 ~~$ 45.00~~ (-31%)

4.7

106 reviews

Versatile Video Coding Vvc Machine Learning And Heuristics Mrio Saldanha instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 5.43 MB

Pages: 127

Author: Mário Saldanha, Gustavo Sanchez, César Marcon, Luciano Agostini

ISBN: 9783031116391, 3031116399

Language: English

Year: 2022

Product desciption

Versatile Video Coding Vvc Machine Learning And Heuristics Mrio Saldanha by Mário Saldanha, Gustavo Sanchez, César Marcon, Luciano Agostini 9783031116391, 3031116399 instant download after payment.

This book discusses the Versatile Video Coding (VVC), the ISO and ITU state-of-the-art video coding standard. VVC reaches a compression efficiency significantly higher than its predecessor standard (HEVC) and it has a high versatility for efficient use in a broad range of applications and different types of video content, including Ultra-High Definition (UHD), High-Dynamic Range (HDR), screen content, 360º videos, and resolution adaptivity. The authors introduce the novel VVC tools for block partitioning, intra-frame and inter-frames predictions, transforms, quantization, entropy coding, and in-loop filtering. The authors also present some solutions exploring VVC encoding behavior at different levels to accelerate the intra-frame prediction, applying statistical-based heuristics and machine learning (ML) techniques.