Unlocking Even Better Efficiency and Budget Savings with Enhanced Encoding - $15
Date: April 3, 2024Topics: 2024 BEITC Proceedings, Striving for Efficiency in Video TechnologyVideo codecs are an important component of any video workflow. Although the most popular codecs are created through a stringent standardization process, this does not mean that the resulting software options are identical. While open-source codecs are typically available as is (or with community support), commercial codecs generally offer improvements in performance along with added features. This paper opens with a synopsis of the standardization landscape for the various use-cases in TV broadcast and OTT streaming. It then discusses five features that have been implemented in commercial codecs and how they can benefit the typical video workflow.
Thomas Kramer, Frank Schönberger, Geoff Gordon | MainConcept GmbH |
San Diego, Calif., United States; Aachen, Germany
Unravelling the Power of Single-Pass Look-Ahead in Modern Codecs for optimised transcoding deployment - $15
Date: April 3, 2024Topics: 2024 BEITC Proceedings, Generative AI Uses and Video TranscodingWinner of the 2024 NAB BEIT Conference Proceedings Best Student Paper Award
Modern video encoders have evolved into sophisticated pieces of software in which various coding tools interact with each other. In the past, single-pass encoding was not considered for Video-On-Demand (VOD) use-cases. In this work, we evaluate production-ready encoders for H.264 (x264), H.265 (HEVC), AV1 (SVT-AV1) along with direct comparisons to the latest AV1 encoder inside NVIDIA GPUs (40 series), and AWS Mediaconvert’s AV1 implementation. Our experimental results demonstrate single pass encoding inside modern encoder implementations can give us very good quality at reasonable compute cost. The results are presented as three different scenarios targeting High, Medium, Low complexity accounting quality-bitrate-compute load. Finally, a set of recommendations are presented for end-users to help decide which encoder/preset combination might be more suited to their use case.
Vibhoothi | Sigmedia Group, Department of Electrical Engineering | Trinity College Dublin, Ireland
Julien Zouein | Sigmedia Group, Department of Electrical Engineering | Trinity College Dublin, Ireland
François Pitié | Sigmedia Group, Department of Electrical Engineering | Trinity College Dublin, Ireland
Anil Kokaram | Sigmedia Group, Department of Electrical Engineering | Trinity College Dublin, Ireland
Using a Private 5G Network to Support the International Broadcast of the Coronation of HM King Charles III - $15
Date: April 3, 2024Topics: 2024 BEITC Proceedings, Application of 5G in BroadcastingWinner of the 2024 NAB BEIT Conference Proceedings Best Paper Award
Wireless cameras for news contribution feeds regularly use “bonded-cellular” devices, which connect to and split the encoded video across multiple public mobile network SIMs. However, in high demand density environments with large crowds, the public networks can quickly become saturated and unable to sustain the necessary bitrates to support high-definition video. To overcome this and provide uncontested wireless connectivity, the largest pop-up 5G standalone non-public (private) network of its type was deployed outside Buckingham Palace and along The Mall to Admiralty Arch to support news contributions for domestic and foreign broadcasters at the Coronation of HM King Charles III, without changing the contribution workflow.
Sam Yoffe | StrathSDR, University of Strathclyde | Glasgow, United Kingdom
Malcolm Brew | StrathSDR, University of Strathclyde | Glasgow, United Kingdom
Douglas Allan | StrathSDR, University of Strathclyde | Glasgow, United Kingdom
Kenneth Barlee | StrathSDR, University of Strathclyde | Glasgow, United Kingdom
Dani Anderson | StrathSDR, University of Strathclyde | Glasgow, United Kingdom
Odianosen Ighagbon | StrathSDR, University of Strathclyde | Glasgow, United Kingdom
Damien Muir | StrathSDR, University of Strathclyde | Glasgow, United Kingdom
Joshua Goldsmith | Neutral Wireless Ltd. |
Glasgow, United Kingdom
Cameron Speirs| Neutral Wireless Ltd. | Glasgow, United Kingdom
Robert Stewart | Neutral Wireless Ltd. | Glasgow, United Kingdom
Ian Wagdin | BBC R&D | London, United Kingdom
Marl B. Waddell | BBC R&D | London, United Kingdom
Purminder Gandhu | BBC R&D | London, United Kingdom
Andy Reed | BBC News | London, United Kingdom
Simon Ashton | BBC Technology and Media Operations | London, United Kingdom
Using Real-Time Data to Drive Engagement and Build Community - Lessons from Gaming - $15
Date: April 23, 2022Topics: 2022 BEITC Proceedings, OTT 1: Emerging DevelopmentsConsidering techniques developed by the video game industry when faced with challenges of audience fragmentation and personalization, and how they can be selectively applied to streaming media.
Simon Crownshaw | Microsoft | Redmond, Washington, United States
Brady Woods | Microsoft | Redmond, Washington, United States
Verifying Video Signals Using Computer Vision and Machine Learning Techniques - $15
Date: March 21, 2025Topics: 2025 BEITC Proceedings, Enhancing Video Streaming Quality and EfficiencyHigh-quality video streams pass through various processes inside media workflows, including pre-processing, transcoding, editing, post-processing, etc. The media transformation in these processes can alter the properties of the intermediate video, potentially disrupting subsequent processes or degrading the final output video quality experienced by viewers. Reliable content delivery necessitates verification of video data to ensure an acceptable quality of experience (QoE). The verification of video data is not just limited to the measurement of degradation in perceived quality on the viewing screen but also considers validation of video parameters affecting the proper functioning of media devices. For example, the Y, Cb, and Cr values are altered after lossy compression that can result in out-of-gamut RGB data and hence will lead to erroneous functioning of display devices. Similarly, parameters like light levels, black bar widths, color bar types, telecine patterns, photosensitive epilepsy (PSE) levels and patterns, field order, scan types (interlaced or progressive), etc. also need validation before distribution. This paper explores critical video properties and demonstrates how computer vision, image processing, and machine learning techniques can measure and validate these properties and detect defects. Experiments utilizing machine learning (ML) techniques to quantify the quality degradation, due to lossy compression of video data, will also be discussed. A discussion of challenges and future directions to enhance the accuracy of measurement and detection is also included here.
Shekhar Madnani, Raman Kumar Gupta, Siddharth Gupta, Saurabh Jain | Interra Systems, Inc. | Cupertino, Calif., United States
