Every year more and more video platforms appear increasing competition in the entertainment and OTT industry as well as the demand and expectations from the users of these platforms. Content services must adapt to meet these demands more effectively and efficiently if they want to improve UX.
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In this blog, we will explain
what features and metrics a recommendation engine must have to be successful.
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Hiscale - a leading German software vendor for scalable transcoding and workflow solutions joins the IABM family
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ITV is the second largest broadcaster in the UK. With an exponential rise in the demand for quality subtitling, they turned to Limecraft’s AI-driven solution to streamline its subtitling processes to increase operational efficiency.
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OOONA was founded because we needed a platform to manage internal subtitling work at a localization company in Tel Aviv – Trans Titles.
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In this IABM TV interview, Ken Rubin (Senior VP of Sales, Actus Digital) and Keith DesRosiers (VP of Solutions Engineering, Actus Digital) discuss the features that take Actus beyond Engineering, and the customers they are involved with.
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Finland-based company Visidon, founded in 2006, specialized in the development of AI-based image and video enhancement software. The company is a well-known supplier for the top mobile OEMs around the world. Lately, the company has utilized its long experience and has further developed its technologies to serve the broadcasting and video delivery industry.
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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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