17946806. ACTIONABLE SUGGESTIONS FOR MEDIA CONTENT simplified abstract (Google LLC)
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 Unanswered Questions
- 1.11 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 17946806 titled 'ACTIONABLE SUGGESTIONS FOR MEDIA CONTENT
Simplified Explanation
The abstract describes a patent application related to processing media content to classify it into predefined categories, extracting target content, generating actions based on the extracted content, and providing selectable suggestions to perform the actions.
- Media content is processed and classified into predefined categories.
- Target content is extracted from the media content.
- Actions are generated based on the extracted target content.
- Selectable suggestions are provided, including a textual description of the action.
- Suggestions are displayed on a client device along with the media content.
- Selecting a suggestion causes the application to perform the action.
Potential Applications
This technology could be applied in content recommendation systems, personalized advertising, and interactive media platforms.
Problems Solved
This technology solves the problem of efficiently classifying and processing media content, as well as providing personalized suggestions based on the content.
Benefits
The benefits of this technology include improved user engagement, targeted content delivery, and enhanced user experience with media content.
Potential Commercial Applications
Potential commercial applications of this technology include video streaming services, social media platforms, and e-commerce websites for targeted advertising.
Possible Prior Art
One possible prior art could be content recommendation algorithms used in streaming platforms like Netflix or YouTube.
Unanswered Questions
1. How does the system ensure the accuracy of the classified categories and extracted target content? 2. What measures are in place to protect user privacy and data security when processing media content for generating suggestions?
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.
