Live sport is one of the most watched content genres and in an era where on-demand and non-linear viewing is edging out linear, it continues to buck the trend. Fans at home want a live experience that is better than being at the stadium, with multiple camera angles and immersive sound. Clubs and sports leagues also want their content to reach as many fans around the globe as possible – online, on linear and on social media.
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In 2019, the Associated Press (AP) – the world’s largest international news agency – instigated a project to leverage AI technology to shorten its production process so that its customers could receive content more quickly, while significantly reducing manual input, freeing its own staff for more creative purposes. AP turned to Limecraft to enable the transformation, using Vidrovr for scene description, facial recognition and gesture detection alongside Trint for audio description, which together deliver a single, coherent and frame-accurate description of every individual shot.
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Media businesses have grown very complex in recent times. Where once it was a simple linear process of “get programme in, check it, play it out to air”, now it is considerably more challenging. There is much more content, going to many more outlets, each with their own set of commercial and technical rules.
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Craig Harvey, VP, APAC, Deltatre reflects on the evolving OTT landscape in APAC, and identifies trends that will characterise the industry in the region in the months and years to come.
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The video streaming industry is in the midst of an evolution, with several challenges facing service providers. Yesterday, service providers were focused on providing stable and robust streaming services. Today, they are looking to match streaming QoE with broadcast QoE, at scale. In the future, personalization and contextualization will be the norm, combined with a high degree of agility.
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In this IABM TV interview, Hiren Hindocha (Co-Founder, President & CEO - Digital Nirvana) discusses the latest trends of Artificial Intelligence & Machine Learning, and how the needs of customers have changed during the pandemic.
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This Briefing focuses on identifying the most important investment drivers in content distribution & monetization derived from a mixture of sources, including survey data on technology priorities, company announcements, and financial data.
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IABM Adoption Trends reports annually track the adoption of specific emerging technologies within the broadcast and media sector.
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We are proud to announce that ELEMENTS has achieved the highest results in the SPEC SFS VDA storage performance benchmark. This has been done together with our new technology partner ThinkparQ and their BeeGFS file system, which is well established in High Performance Computing, AI and Deep Learning, and Science. After introducing this file system to the Media and Entertainment industry, it was vital that we proved its capabilities in video production workflows. In this article, we will explain how we have achieved the high score, examine and compare benchmark outcomes in detail and discuss what these results really mean.
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In the last 36 months, the way in which machine learning technologies have advanced is incredible. As the world moves to more automated ways of working, I’m going to dive into how media supply chains are shaped, driven and limited by data.
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