Google llc (20240203006). Techniques for Generating Dynamic Content simplified abstract
Contents
Techniques for Generating Dynamic Content
Organization Name
Inventor(s)
Zebedee Pedersen of Hove East Sussex (GB)
Luis De Jorge Ladrero of London (GB)
Marta Soto Morras of London (GB)
Kathryn Jane Strudwick of London (GB)
Techniques for Generating Dynamic Content - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240203006 titled 'Techniques for Generating Dynamic Content
The abstract describes a computer-implemented method for generating dynamic content using machine-learned models to process images and determine objects and actions associated with those objects based on user queries.
- The method involves receiving a first generated image from machine-learned models based on a user query.
- Processing the image to determine objects within it using the machine-learned models.
- Identifying a subset of actions associated with a specific object in the image.
- Allowing users to select an action from the subset associated with the object.
- Modifying the object in the image based on the user's selected action.
Potential Applications: - Personalized content generation for users based on their queries. - Interactive visual search applications. - Enhanced user experience in e-commerce platforms.
Problems Solved: - Providing dynamic and personalized content based on user interactions. - Streamlining the process of identifying objects and actions in images. - Improving user engagement and interaction with visual content.
Benefits: - Enhanced user experience through interactive content. - Efficient processing of images and actions using machine learning. - Tailored content generation based on user preferences.
Commercial Applications: Title: Interactive Content Generation Technology for E-commerce Platforms This technology can be utilized in e-commerce platforms to provide users with personalized and interactive product recommendations based on their preferences and interactions with visual content. It can enhance user engagement, increase conversion rates, and improve overall user satisfaction.
Questions about Interactive Content Generation Technology: 1. How does this technology improve user engagement with visual content? - This technology allows users to interact with generated images by selecting actions associated with objects, providing a personalized and engaging experience. 2. What are the potential applications of this technology beyond e-commerce platforms? - This technology can be applied in various fields such as education, entertainment, and healthcare to enhance user interactions with visual content.
Original Abstract Submitted
a computer-implemented method for generating dynamic content. the method can include receiving, from an output of one or more machine-learned models, a first generated image. the first generated image can be generated based on a user query. additionally, the method can include processing the first generated image, using the one or more machine-learned models, to determine a plurality of objects in the first generated image. moreover, the method can include determining, using the one or more machine-learned models, a subset of actions associated with a first object in the plurality of objects. furthermore, the method can include receiving a user input selecting a first action from the subset of actions associated with the first object. subsequently, the method can include modifying the first object in the first generated image in response to the selection of the first action.
