View Cart

Topics

Digital Online Operations

  • AI Innovations in Testing and Monitoring: How Machine Learning is Transforming Testing and Monitoring On Real Devices - $15

    Date: April 3, 2024
    Topics: ,

    Artificial intelligence (AI) has emerged as a pivotal tool for video service providers in ensuring an exceptional quality of experience (QoE) for their end-users. Machine learning (ML) neural networks currently enable content providers to enhance encoding and compression for video-on-demand (VOD) assets. However, evaluating live and linear content remains challenging without a reference stream. This paper explores an innovative methodology to assess video quality from the user’s perspective on physical devices. This approach mirrors human interaction through AI and computer vision to detect defects. Extensive testing of third-party applications using this technique can increase customer retention for video services. With rapid advancements, AI has the potential to transform video quality assurance.

    Yoann Hinard | Witbe | New York, N.Y., United States

    Add to cart Details


  • Audience Aware Streaming - $15

    Date: April 3, 2024
    Topics: ,

    Live linear streams are typically produced using a fixed bitrate ladder and codec mix. This approach locks in storage, compute, delivery costs and power consumption. Unpopular channels have the same operating costs as popular ones. Content distributors would much rather focus their resources on their popular content and maximize aggregate quality of experience (QoE) while minimizing storage, compute, delivery and power. This paper describes a collaboration between Ateme (a provider of video compression and delivery solutions) and Akamai (a global compute and delivery provider) in which such an optimization is achieved. Player viewing sessions are collected by Akamai using the common media client data (CMCD) standard and fed in a real-time data feed to an Ateme Stream Optimizer. The Optimizer gathers data on the viewership count, geo diversity, device diversity and device capability and then dynamically adjusts the cloud compute resources allocated to the stream, varying the bitrate ladder and codec mix offered so as to provide the best quality to the popular streams while minimizing delivery costs and power consumption The paper describes the proof-of-concept system that was built, and presents the real-world results that were obtained to validate the hypothesis that live linear OTT operations can be optimized with the addition of real-time audience data.

    Mickaël Raulet | ATEME | France
    Josselin Cozanet | ATEME | United States
    Khaled Jerbi | ATEME | Canada
    Will Law | Akamai | Switzerland

    Add to cart Details


  • Boosting the efficiency of OTT delivery with state-of-the-art streaming optimizations - $15

    Date: April 3, 2024
    Topics: ,

    An increase in streaming capacity has driven OTT service providers to look for ways to reduce the cost of video streaming without decreasing the overall quality of experience (QoE). Through the latest streaming optimizations, video service providers can achieve significant bandwidth savings, while retaining exceptional video quality. This paper examines the current state of the art in streaming innovations by looking first at the popularity of deployed codecs (AVC, HEVC, AV1), then seeing how Content Aware Encoding (CAE) can be used to improve their respective performances. It then looks beyond CAE at additional AI-based techniques such as dynamic parameter selection, dynamic frame encoding, dynamic resolution encoding that can further improve the compression efficiency. It then looks at additional techniques impacting the QoE that can be deployed to further reduce the bandwidth such as zero rating deployed in the mobile space, resolution reduction on PC, or 1080p for sports on TV. Last, it looks at encoding orchestration where content popularity will impact the processing power allocated to encoding to reduce the bitrate adaptively based on content popularity. The paper develops a model that shows starting from a Constant Bit Rate (CBR) HD AVC solution, and depending on the tools used, with or without QoE reduction, what bandwidth reduction can be achieved.

    Thierry Fautier | Your Media Transformation | Los Altos, Calif., United States

    Add to cart Details