Google llc (20240095273). ACTIONABLE SUGGESTIONS FOR MEDIA CONTENT simplified abstract
Contents
- 1 ACTIONABLE SUGGESTIONS FOR MEDIA CONTENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ACTIONABLE SUGGESTIONS FOR MEDIA 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
ACTIONABLE SUGGESTIONS FOR MEDIA CONTENT
Organization Name
Inventor(s)
Keun Soo Yim of San Jose CA (US)
ACTIONABLE SUGGESTIONS FOR MEDIA CONTENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095273 titled 'ACTIONABLE SUGGESTIONS FOR MEDIA CONTENT
Simplified Explanation
The patent application relates to processing media content and associated metadata to classify the content into predefined categories, extracting target content, generating actions based on the extracted content, and creating selectable suggestions for applications based on the generated actions.
- Media content and metadata are analyzed to categorize the content into specific predefined categories.
- Target content is extracted from the media content based on the classification into the predefined categories.
- Actions are generated based on the extracted target content, corresponding to specific applications.
- Selectable suggestions are created, including textual descriptions of the actions, for users to choose from.
- The suggestions are displayed on a client device along with the rendered media content, allowing users to select and perform the corresponding actions.
Potential Applications
This technology can be applied in content recommendation systems, personalized advertising, and interactive media platforms.
Problems Solved
This technology helps in automating content classification, improving user engagement, and enhancing user experience with media content.
Benefits
The technology streamlines content processing, increases user interaction with applications, and provides personalized suggestions based on media content.
Potential Commercial Applications
Potential commercial applications include media streaming services, social media platforms, and e-commerce websites for targeted advertising and content recommendations.
Possible Prior Art
One possible prior art could be content recommendation algorithms used in streaming services and online platforms to suggest relevant content to users based on their preferences.
Unanswered Questions
How does the technology handle user privacy and data security concerns?
The article does not address how the technology ensures user data privacy and security while processing media content and generating personalized suggestions.
What are the potential limitations or challenges in implementing this technology on a large scale?
The article does not discuss the scalability of the technology or potential obstacles in deploying it across a wide range of media content and applications.
Original Abstract Submitted
implementations relate to processing media content, and/or associated metadata, to classify the media content into a first category, of a plurality of predefined categories. versions of those implementations further relate to extracting target content from the media content; generating, based on the extracted target content, an action that corresponds to an application; and generating, based on the generated action, a selectable suggestion including a textual portion that describes the action. some of those versions further relate to causing the selectable suggestion to be displayed at a display of a client device, along with rendering of the media content. the selectable suggestion, when selected, causes the application to perform the action. the target content can be extracted based on the first category and can be extracted based on the first category in response to the media content being classified into the first category.
