Google patents search that rewrites queries using video details
This filing describes a system that looks at the specific objects and details inside videos or images to improve search results. It creates and tests different versions of a user's search phrase based on those visual details, then picks the best one to send to the search engine.
In the filing’s own words
Techniques for contextual search on multimedia content are provided. An example method includes extracting entities associated with multimedia content, wherein the entities include values characterizing one or more objects represented in the multimedia content, generating one or more query rewrite candidates based on the extracted entities and one or more terms in a query related to the multimedia content, providing the one or more query rewrite candidates to a search engine, scoring the one or more query rewrite candidates, ranking the scored one or more query rewrite candidates based on their respective scores, rewriting the query related to the multimedia content based on a particular ranked query rewrite candidate and providing for display, responsive to the query related to the multimedia content, a result set from the search engine based on the rewritten query.
What exactly they claim (claim 1)
1. (canceled)
Facts
- Company
- Google (GOOGLE LLC)
- Official title
- CONTEXTUAL SEARCH ON MULTIMEDIA CONTENT
- Publication number
- US20260300303A1
- Application number
- 19568256
- Filed
- Mar 16, 2026
- Published
- Oct 1, 2026
- Inventors
- 3
- Claims
- 21
Classified under
G06F 16/24575 Physics & computingG06F 16/43 Physics & computingG06F 16/951 Physics & computingG06F 16/9538 Physics & computingMore from Google in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.