23 TECH FEED Content Management
video, iconik, comes with a framework capable of integrating with AI platforms. Iconik currently supports Amazon Rekognition and Google Cloud Video Intelligence but can also integrate custom- trained video analysis solutions, adapted to content and workflow. “Iconik can be set up to analyse all or specific assets by its AI-framework and each entity, object or occurrence tagged with metadata,” explains chief executive Parham Azimi. “The suggested tags from the AI/ML are time code based and come with a confidence level, representing accuracy. Different workflows can be applied to each tag depending on the confidence level. For example, if a user wants to be shown every clip or a sub- clip with a shot of the sky they need only search for the phrase ‘sky’’.” This form of support allows users to tap into any AI solution. “For example,” says Azimi, “a custom-trained AI capable of recognising exact content or specific products – perhaps ‘Nike Air Zoom Pegasus 34iD’, rather than simply ‘white sneaker’.” There are potential conflicts when working with metadata originated under different AI/asset management protocols. One such flashpoint lies in assuming that the value of metadata in a file will be the same regardless of the AI-driven data set that generated it. “As the area is still maturing, I would not assume that, for example, face recognition from one system would be equal to face recognition from another,” says David Schleifer, COO, Primestream. “In fact, one system may focus on known famous people while the other might be a learning algorithm to build collections –
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