About
Knowledge of video coding standards (MPEG-2, H.264/AVC, H.265/HEVC, VP9).
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Our milestone fifth annual #BroadcastTransformationReport is out now! Learn what over 800 #broadcast and #videostreaming professionals think about…
Our milestone fifth annual #BroadcastTransformationReport is out now! Learn what over 800 #broadcast and #videostreaming professionals think about…
Liked by Maxim Sharabayko
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Haivision is proud to welcome the newest member of #srtalliance. It's great to see #SRT extending well beyond broadcast. Thank you Applied Information
Haivision is proud to welcome the newest member of #srtalliance. It's great to see #SRT extending well beyond broadcast. Thank you Applied Information
Liked by Maxim Sharabayko
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Learn how Haivision and Skyline Software Systems enable real-time insights, support defense, and plan safety missions through mission-critical…
Learn how Haivision and Skyline Software Systems enable real-time insights, support defense, and plan safety missions through mission-critical…
Liked by Maxim Sharabayko
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Education
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Publications
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Contemporary Video Compression Standards. H.265/HEVC, VP9, VP10, Daala
2016 International Siberian Conference on Control and Communications (SIBCON)
In this paper we compare compression efficiency of the latest video coding standards H.265/HEVC, VP9, VP10 and Daala to H.264/AVC with the help of reference video encoders available.
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Fast Rate Estimation for RDO Mode Decision in HEVC
Entropy
In this paper, we present an entropy-based RDO estimation technique for H.265/HEVC compression, instead of the common approach based on the SBAC. Our RDO implementation reduces RDO complexity, providing an average bit rate overhead of 1.54%. At the same time, elimination of the SBAC from the RDO estimation reduces block interdependencies, thus providing an opportunity for the development of the compression system with parallel processing of multiple blocks of a video frame.
Other authorsSee publication -
Intra prediction header bits estimation algorithm for RDO in H.265/HEVC
Applied Mathematical Sciences
In our work we elaborate the proper rate estimation of the prediction header without the use of BAC. The suggested algorithm counts the symbols to be coded with BAC and estimates the bit size of the intra prediction header based on the entropy of the symbols, obtained in the statistical experiments. The proposed algorithm provides the average bitrate overhead of 0.09\% on JCT-VC test video sequences, and can be used as a part of decision making algorithm in H.265/HEVC video compression systems.
Other authorsSee publication -
Intra Compression Efficiency in VP9 and HEVC
Applied Mathematical Sciences
In this paper we get into detailed overview of intra compression data-flow in HEVC and VP9. We describe common and unique stages of both standards. Then we carry out experiments with JCT-VC HM and WebM VP9 encoders on intra compression efficiency.
We also turn some of the HEVC features off to get its dataflow as close to VP9 as possible. Finally we get into discussion of the efficiency of both codecs, the corresponding standards and their intra compression algorithms.Other authorsSee publication -
NEXT GENERATION VIDEO CODECS: HEVC, VP9 and DAALA
Tomsk Polytechnic University
General review of new video compression standards HEVC, VP9 and Daala. Their compression efficiency compared to AVC.
More activity by Maxim
Mile-High Video is now open. Nearly full room at 9am on Sunday! #MHV2024
Liked by Maxim Sharabayko
Looking forward to these two weeks! Mile-High Video, Segments:2024, SVTA, MoQ, and Denver Video Tech.
Liked by Maxim Sharabayko
📡🔢 Basics of Link Budgets: Understanding the Invisible Threads of wireless Communication 🔢📡 1️⃣ 🚀 What is a Link Budget? 🚀 A link budget is…
Liked by Maxim Sharabayko
I am happy to share that the article "Live Streaming using SRT with QUIC Datagrams" we've presented at the ACM Mile-High Video 2023 conference in May…
Liked by Maxim Sharabayko
A blog post describing some use cases that the open source tool srt-whep can solve in a standardized way. GitHub: https://lnkd.in/dhNz2CQP…
Liked by Maxim Sharabayko
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