Google llc (20240104104). CONTEXTUAL SEARCH ON MULTIMEDIA CONTENT simplified abstract
Contents
- 1 CONTEXTUAL SEARCH ON MULTIMEDIA CONTENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CONTEXTUAL SEARCH ON MULTIMEDIA CONTENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
CONTEXTUAL SEARCH ON MULTIMEDIA CONTENT
Organization Name
Inventor(s)
Gökhan Hasan Bakir of Zurich (CH)
[[:Category:Károly Csalog�ny of Zurich (CH)|Károly Csalog�ny of Zurich (CH)]][[Category:Károly Csalog�ny of Zurich (CH)]]
Behshad Behzadi of Zurich (CH)
CONTEXTUAL SEARCH ON MULTIMEDIA CONTENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104104 titled 'CONTEXTUAL SEARCH ON MULTIMEDIA CONTENT
Simplified Explanation
The abstract of the patent application describes techniques for contextual search on multimedia content. The method involves extracting entities associated with the multimedia content, generating query rewrite candidates based on the extracted entities and query terms, providing the candidates to a search engine, scoring and ranking the candidates, rewriting the query based on a ranked candidate, and displaying search results from the search engine.
- Entities extraction: Values characterizing objects in multimedia content are identified.
- Query rewrite generation: Candidates for query rewrite are created using extracted entities and query terms.
- Search engine interaction: The candidates are provided to a search engine for processing.
- Scoring and ranking: The candidates are evaluated and ranked based on their scores.
- Query rewriting: The original query related to the multimedia content is rewritten based on a top-ranked candidate.
- Search results display: The search engine provides a result set based on the rewritten query.
Potential Applications
The technology can be applied in various fields such as image and video search, e-commerce product recommendations, and content-based advertising.
Problems Solved
This technology helps improve the accuracy and relevance of search results for multimedia content, enhancing user experience and efficiency in information retrieval.
Benefits
The benefits of this technology include better search precision, increased user engagement, and improved content discovery.
Potential Commercial Applications
Commercial applications of this technology include search engines, e-commerce platforms, digital marketing agencies, and media companies.
Possible Prior Art
One possible prior art for this technology could be the use of entity extraction and query rewriting techniques in text-based search engines to improve search relevance and accuracy.
Unanswered Questions
How does this technology handle multimedia content with multiple objects or complex scenes?
The technology may use advanced algorithms for entity extraction and query rewriting to handle complex multimedia content effectively.
Can this technology be integrated with voice search or image recognition systems?
Integrating this technology with voice search or image recognition systems could enhance the user experience and provide more accurate search results for multimedia content.
Original Abstract Submitted
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.
