AI and video production ? That ’ s the way to go , says
Ooyala .
Artificial Intelligence ( AI ) is proving to be a valuable technology for video businesses , especially when it comes to extracting relevant metadata from videos .
At BroadcastAsia2017 meeting room 302 , Ooyala will demonstrate how Ooyala Flex , its media logistics platform , integrates with Microsoft Cognitive Services to achieve one key goal : to simplify metadata capture by extracting transcripts , detecting faces within videos , and analysing text to detect key topics .
Steve Davis , vice-president and general manager for Ooyala in Asia-Pacific and Japan , explains the impetus for metadata capture . ” The broadcast and media industry is having to deal with increased complexity from the explosion of video content consumption
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and processing .
“ Production teams are under pressure to increase efficiencies . Ooyala Flex now integrates with Microsoft Cognitive Services to extract valuable metadata using AI for better video recommendation and advertising targeting , thus driving revenue for our customers .”
Inputting , capturing , curating and QC-ing metadata is a pain for operators , says Davis . It is a manual process , rife with errors . For media asset management , good metadata makes it easier to find assets , especially with large archives .
Companies often shoot new or alternative footage simply because they cannot find old footage in their archive , or it takes too long to find a specific 10-second clip of footage buried within a two-hour video . The more information contained in the metadata , the easier it is to find what is
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in the video .
Beyond efficiencies , Ooyala is working across its media logistics , video platform and video advertising products to help customers leverage their metadata to increase revenues .
Video recommendations are an obvious application of the metadata that can be captured via AI . “ With the metadata extracted from facial identification , we are able to recommend all available content in the library based on audience ’ s preferences . For example , recommending content with a specific celebrity , whether the celebrity is the subject of the entire video or only appear in part of it .”
For sports fans , the solution can highlight clips featuring specific players within a soccer match , detecting the precise moment they appear in the game . Personalised content recommendation videos or clips have proven to keep people
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Ooyala ’ s Steve Davis : “ Ooyala Flex now integrates with Microsoft Cognitive Services to extract valuable metadata using AI for better video recommendation and advertising targeting , thus driving revenue for our customers .”
watching longer . That means more opportunities to serve ads to the viewer , and more revenue for the business .
Advertising is another interesting use case . If we know that a certain celebrity appears in a series of videos , and that celebrity is relevant to a particular brand , there is now the ability to deliver ads at that precise moment that celebrity appears .
Ooyala says video businesses should explore the full potential of metadata capture . It allows the advertising team to create and sell very targeted advertising packages for premium rates .
The company believes that with AI and metadata , it is only just scratching the surface of a very new field . Excited to be a front runner , Ooyala promises to be continuing innovation in this area .
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