18749461. IMAGE GENERATION simplified abstract (Beijing Baidu Netcom Science Technology Co., Ltd.)
Contents
IMAGE GENERATION
Organization Name
Beijing Baidu Netcom Science Technology Co., Ltd.
Inventor(s)
IMAGE GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18749461 titled 'IMAGE GENERATION
Simplified Explanation: The patent application describes a method for processing user input data in a dialogue system, specifically focusing on image processing requirements.
Key Features and Innovation:
- Obtaining current dialogue data from the user.
- Determining the type of requirement the user has in the current dialogue round.
- Creating an action sequence to fulfill image processing requirements.
- Executing the action sequence to generate a target image.
- Generating response data based on the target image.
Potential Applications: This technology can be applied in various fields such as virtual assistants, customer service chatbots, and automated image editing tools.
Problems Solved: This technology streamlines the process of handling image processing requirements in dialogue systems, improving user experience and efficiency.
Benefits:
- Enhanced user interaction with dialogue systems.
- Faster and more accurate image processing.
- Improved response generation based on target images.
Commercial Applications: The technology can be utilized in customer service industries, e-commerce platforms, and any application that involves user interaction with automated systems.
Prior Art: Researchers can explore prior art related to dialogue systems, image processing algorithms, and natural language processing techniques.
Frequently Updated Research: Stay updated on advancements in dialogue system technologies, image processing algorithms, and user interaction studies to enhance the application of this technology.
Questions about Image Processing in Dialogue Systems: 1. How does this technology improve user engagement in dialogue systems? 2. What are the potential limitations of using image processing in automated dialogue systems?
Original Abstract Submitted
A method is provided that includes: obtaining current dialogue data; determining a requirement type of the user in the current round of dialogue based on the current dialogue data; in response to the requirement type being an image processing requirement, determining an action sequence for implementing the image processing requirement; executing the action sequence to generate a target image; and generating response data corresponding to the user input data based on the target image.
