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Understanding video content is a significant challenge for media companies.
The biggest obstacle? Data within a video is largely unstructured and requires complex analysis. In a crowded landscape, it’s becoming essential for media and entertainment companies to extract new insights from video to meet consumers’ and advertisers’ needs.
AI technology can give streaming services a competitive edge. A new set of packaged services available through IBM Cloud that companies can scale and use across their video assets, IBM Watson Media, provides a valuable new resource for clients who need to solve key industry problems.
Here are a few ways cognitive capabilities can increase impact and efficiency across all aspects of streaming video:
1. Finding a needle in a haystack: Content search and discovery
One of the biggest resource drains for production teams is manually scanning stockpiles of footage to find relevant content. By tapping into rich metadata, IBM Watson Media expedites this process to make video more searchable, thereby enabling editors to discover and use archival assets faster.
2. Personalized recommendations: More detailed data for better content matches
In today’s streaming world, it’s essential to deliver the right content to the right viewer at the right time. To meet consumer demand for relevant programming, streaming services must provide highly specific content recommendations.
With deep insights into video content through enhanced metadata, IBM Watson Media provides media companies with a better understanding of what’s inside a video. This enables streaming services to improve their recommendation engines for viewers by analyzing this detailed data to find better matches. With increased personalization, streaming services can optimize the viewer experience and reduce churn.
3. Intelligent closed captioning: What’s love got to do with it?
Media companies rely on speech-to-text technology to deliver a near real-time transcript of commentary. However, closed captioning can be inaccurate, especially during sporting events that require an understanding of specific terminology.
Cognitive capabilities solve those challenges by unlocking what’s inside a video. For instance, IBM Watson understands the difference between romantic “love” and “love” as a score in tennis. This enables Watson to provide more accurate, intelligent captioning to live-streamed events such as the US Open, since it understands the context of the video.
4. Don’t let video go awry: AI helps media companies comply
Service providers and advertisers that encounter regulations around explicit content or product placement may use AI technology as a resource to support their compliance efforts.
Rather than manually digging through footage to flag violence or objectionable language, production teams can use AI to help facilitate their meeting their compliance obligations. By sourcing rich metadata to understand elements within a video, IBM Watson Media can be a resource to help identify specific content that should be screened for approval.
5. Take another look: Highlight clipping
IBM Watson Media can identify the most exciting parts of video footage in near real time. This functionality can be crucial for action-packed sporting events such as the US Open, where IBM Watson Media helped video editors quickly package and distribute highlight reels.
Cognitive technology can automatically identify exciting moments based on player movement, match data and crowd noise. By streamlining the process to create highlight reels, IBM Watson Media helps ensure fans won’t miss the action.
In a competitive landscape, media companies need AI technology to help solve pressing industry challenges. By bringing the cognitive power of Watson to video, IBM Watson Media empowers companies to unlock new value from their content.
Learn more about new Watson-powered video services.