Scene Finder POC
Goal
We began this project as an exploration around up-levelling the capabilities of “assistants” (AI, chatbot, virtual, etc) with regards to the specific field of media & entertainment. As the overall platform of voice (and other) assistants increase in capabilities, we believe that they will focus on more “generic” oriented features, which gives us the opportunity to specialize in the vertical of entertainment. For this phase of work, we are exploring the concept of what an “Entertainment Assistant” might do, and how it might function.
One such function would be, for example, a voice-driven search where the user doesn’t exactly know what they are looking for: “Show me the first time we see Jon Snow in Game of Thrones” or “Show me dance scenes from classic movies” or “Show me that scene from Friends where they say ‘we were on a break!”.
In other words: respond to a voice-based command, filter out the relevant keywords, and deliver to the user all the matching scene-based results.
Scene Finder POC: take a spoken query, filter to the relevant keywords, and return every video scene that matches. A proof of voice-driven search across large video libraries using the ContentAI extraction pipeline.