Customized Prop Image Generation Using Action File Parsing
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Solution Overview
Problem
Conventional livestreaming props lack distinctiveness, resulting in a lack of personalization and uniformity across different online streamers, which diminishes user experience.
Innovation Solution
A customized prop image generation method that involves obtaining an initial prop image and an action file, parsing the action file to determine a target action, and updating the current action of the target object in the initial prop image to generate a customized prop image unique to the online streamer, using techniques such as Live2D rendering and blockchain-based digital collectibles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional props are used for all online streamers, then production efficiency is improved and device complexity is reduced, but prop distinctiveness and personalization are lost
Solution Approach 1:
The system pre-prepares action files containing pose information, expression information, and animation information before they are needed. When generating customized props, the system simply needs to select and apply these pre-prepared action files to different initial prop images, significantly reducing the complexity of real-time processing while maintaining high personalization capability
Solution Approach 2:
The prop generation process is divided into separate modules: initial prop image selection, action file selection, image processing, and rendering. Each module handles a specific task independently, allowing the system to efficiently combine different prop images with different action files to generate personalized props without increasing overall system complexity
2Adaptability or versatility
If customized prop images are generated for each online streamer, then prop distinctiveness and user experience are improved, but processing complexity and time consumption increase
Solution Approach 1:
Action files are pre-processed and stored with structured information including pose data, expression data, and animation sequences. This preliminary organization allows the system to quickly retrieve and apply appropriate actions without performing complex analysis during the prop generation phase
Solution Approach 2:
The system uses template-based generation where standardized action patterns are created once and then copied and applied to multiple different prop images. This approach maintains consistency in action quality while reducing the need to create unique processing logic for each customized prop
3Manufacturing precision
If action files with multiple parameters are used to control prop actions, then action precision and prop expressiveness are improved, but parsing and processing difficulty increase
Solution Approach 1:
The action file is divided into distinct segments: pose information (controlling body position), expression information (controlling facial expressions), and animation information (controlling motion sequences). Each segment is independently parsed and applied to the prop image, making the complex control process manageable and systematic
Solution Approach 2:
The system transforms complex action descriptions into standardized numerical parameters that can be directly applied to modify prop image characteristics. By establishing a parameter mapping system, the patent converts diverse action inputs into consistent control variables that simplify the parsing process while maintaining precision
Data Source
AI summary
This application provides techniques for generating customized prop images. The techniques comprise obtaining an initial prop image that comprises a target object, wherein the initial prop image comprises an initial image of any prop among at least one prop held by a target online streamer; obtaining an action file configured to specify an action of the target object; parsing the action file to determine a target action corresponding to the action file; and generating a customized prop image by updating a current action of the target object in the initial prop image to the target action, wherein the customized prop image corresponds to the target online streamer.