Coactive’s Intelligent Search is designed to expedite and enhance content discoverability. This feature allows you to search through your content based on a textual description (e.g., “school of fish,” “A couple skiing as the sun is setting,” etc.) without the need for pre-populated tags or metadata. Users can search for people, locations, objects, events, actions, a combination of the above… and more.
The search experience lets users integrate a search query with custom metadata generated on the platform called “Coactive Concepts.” These tags can represent abstract ideas, objects, or actions specific to your enterprise’s unique taxonomy.
“Query engineering” involves designing and optimizing visual search queries to retrieve the most relevant videos. However, results may sometimes not meet expectations due to how machine learning models interpret visual data.
Including more detail can help refine your queries and help you get your desired results quicker.
When searching your content, you might find yourself looking for something that isn’t visually distinct. Audio search allows you to leverage natural language queries to explore your content’s audio track, just as you would search a transcript (e.g. “I have a dream”, “Princess Diana killed in Paris car crash”, etc.), all without the need for pre-populated metadata.
Within our media use cases, we typically see audio search most helpful when users are looking to find a specific event that is less defined by visual elements, for example:
With Coactive’s audio search, you use quotes or natural language to pinpoint content based on what was spoken or reported audibly - no metadata needed.
In the dropdown under the search bar, select “Audio Search”, type your phrase in, and select enter or the arrow.
