Providing relevant video scenes in response to a video search query

This invention describes a way to help you find specific parts of a video. It works by analyzing a video, picking out important still images, and figuring out what's in each image, like "dog" or "car." It then puts a tag on each image. When you type a search query, the system compares your search words to these tags to find a matching image and shows it to you as a preview of the relevant video section.

Why it matters: Filed before the widespread adoption of advanced deep learning for computer vision and natural language processing. Modern AI models can now perform video content analysis, feature detection, and semantic search with significantly greater accuracy and efficiency, making the core functionality much more robust and scalable.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, video analysis, feature detection

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