Prop Recommendation Videos for Faster AR Prop Selection
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Solution Overview
Problem
Existing prop selection methods in photo and video rendering are inefficient and time-consuming, requiring repeated loading of prop resources to find desired props, which reduces processing efficiency and user engagement.
Innovation Solution
A prop processing method and apparatus that intuitively recommends props based on recommended videos, including pre-recorded introduction or effect videos, allowing users to select and apply props more efficiently by displaying a recommended video set and using prop configuration templates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users repeatedly load prop resources to determine desired props, then users can find props they want to use, but time consumption increases and processing efficiency decreases
Solution Approach 1:
The system pre-generates and stores prop configuration templates and effect preview videos before user selection. When a user views a preview video, the corresponding prop configuration template is already prepared and can be instantly applied, eliminating the need for repeated loading and testing during the selection process.
Solution Approach 2:
The system creates preview copies of prop effects through rendered videos that showcase the visual impact of props. Users can view these preview copies to understand prop effects before actual application, reducing the need for repeated trial-and-error loading of full prop resources.
2Ease of operation
If users manually test multiple props to determine preferences, then users can select desired props, but processing efficiency decreases
Solution Approach 1:
The system prepares prop configuration templates and effect preview videos in advance. When users view a preview video and like it, the corresponding prop configuration is already ready for instant application, transforming a previously time-consuming manual testing process into a simple one-click selection operation.
Solution Approach 2:
The system introduces effect preview videos as an intermediary between prop resource storage and user selection. These previews serve as a mediator that allows users to evaluate prop effects visually without directly loading and testing the actual prop resources, thereby improving operational ease while maintaining processing efficiency.
3Loss of information
If prop resources are loaded for testing, then users can evaluate prop effects, but resource consumption increases
Solution Approach 1:
The system creates lightweight preview videos that capture and display prop effects without requiring the full prop resources to be loaded into memory. These preview copies contain the visual information needed for evaluation while consuming significantly fewer computational resources than loading actual prop assets for testing.
Solution Approach 2:
The system pre-renders effect preview videos and stores them for on-demand playback. This preliminary processing transfers resource consumption from the user interaction phase to the background preparation phase, allowing users to evaluate prop effects by playing pre-rendered videos rather than triggering resource-intensive loading operations during selection.
Data Source
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AI summary
The present disclosure relates to a prop processing method and apparatus, and a device and a medium. The method comprises: in response to a trigger operation for a prop exploration entrance identifier, which is set on a prop panel, displaying a prop exploration page, wherein the prop exploration page comprises a prop recommendation identifier; and in response to a trigger operation for the prop recommendation identifier, displaying a recommended video set of prop use.