Artificial Intelligence real applications for Broadcast & Media Industries

The development of new Artificial Intelligence-based tools has opened the door to new media cataloging, utilization, and monetization possibilities. AI systems such as those of Microsoft Azure, Google or IBM allow the automation of repetitive tasks and processes that would normally require the allocation of greater time and resources, especially in the areas of production, cataloging and media management. How can this technology help us make the most of our resources? We give you the keys to it.

Artificial Intelligence (AI) has found its way in the audiovisual industry in the last few years, gaining special importance in the Broadcast & Media industries. The number of solutions including AI systems for the development of editing and media management tasks has increased exponentially, especially the solutions focused on the most repetitive tasks and, therefore, those most likely to be automated.

The main areas of application of AI are cataloging and metadata detection, automated thanks to these tools. The amount of time needed for content cataloging is reduced to almost real-time thanks to AI, which applied to day-to-day work at a regular TV station can create powerful analysis tools that can even be used for news and live production. However, the benefits of AI are not exclusive to the generation of information directly from the media. The accuracy, speed and amount of information generated with AI tools open the door to many other applications in other industry areas.

Due to the integration of AI tools within VSNExplorer MAM, in VSN we have observed its main and more useful applications.

Advanced search: The amount of information generated from each media file allows users to more accurately browse through their content thanks to the bigger amount of parameters available. This way it is easier to adapt search criteria to each user's needs, reducing the number of results returned by the search engine, focusing only on those really relevant and useful. In addition, thanks to machine learning processes, it is also possible to train the system in order to adapt it to the specific needs of its users. An example would be identifying unknown people within the system, who would be recognized from that moment on, both in new media files and in those previously archived.

Specific Segment Retrieval: Based on the content analysis performed by AI tools, users can retrieve not only whole media files but also specific video segments from different files, according to the criteria introduced in the search engine, including mark-in and mark-out, no longer being necessary to select each of them manually. This way, users can perform a quick search on their asset management system and find, for example, all segments where a politician speaks about a specific topic, every goal, shot or foul from a football match, or even key moments on a TV show.

Quicker and easier content creation: Using editing tools such as Wedit, integrated within VSNExplorer platform, users could generate video clips from an automatic video segment search and unify them in a single clip ready for broadcast, such as highlights from a football match, news highlights or even movies and TV series trailers.

Content Monetizing: Thanks to the integration of AI tools within media management systems, greater control of all the available media is possible, both recently ingested and previously included in the storage unit, allowing for a better usage of all media and content available. This way, users avoid creating or editing content already available, saving time and creating better content for their audience.

Automatic captioning and subtitling: Automatic language analysis, translation and speech-to-text functionalities enable automatic subtitles and captions generation in several languages. AI tools can perform audio-to-text processes, delivering text along with its segment distribution, including mark-in and mark-out.

Content moderation: Mandatory depending on the legislation of the place certain content is going to be broadcasted, sentiment recognition, image and object analysis, as well as language analysis tool, allow journalists and editors to easily detect sensitive or adult content, both on image and audio layers. Users can then block, adapt or eliminate these elements from a video editor, such as Wedit.

To learn more about the benefits of AI for Broadcast & Media industries, practical applications and solutions available, visit our website. To watch AI tools applied to media management and production in action, visit VSN at IBC 2018 booth 7.B19.

LINK:	https://www.vsn-tv.com/en/artificial-intelligence-applications-broadca...
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