Video Recording Template Outline Extraction
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Solution Overview
Problem
Existing video recording applications struggle to accurately synthesize user-recorded content with original video materials due to differences in filming environment, object movement, and distance, resulting in poor compositing effects and user experience.
Innovation Solution
A method for video recording that involves extracting outline information of a first object from a template material, acquiring a recording material based on this information, and adding the second object into the corresponding region in the template material to create a target video, thereby improving consistency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users capture videos in complex environments with large movement ranges and body movements, then the user experience and versatility of video recording applications improve, but the accuracy of synthesizing original video with user captured content deteriorates
Solution Approach 1:
The system performs preliminary actions by extracting outline information from the original video before user capture, and provides real-time guidance during capture. This allows the system to prepare the synthesis framework in advance and guide users to capture content that will align with the original video, thereby maintaining high synthesis accuracy even in complex environments with large movement ranges.
Solution Approach 2:
The system implements feedback by providing real-time guidance to users during the capture process based on the extracted outline information. This feedback mechanism helps users adjust their capture content to match the original video's outline requirements, ensuring that even when users perform complex movements or capture in varied environments, the synthesized video maintains high accuracy.
2Manufacturing precision
If the system guides users to capture content aligned with template material, then the synthesis quality improves, but the ease of operation deteriorates
Solution Approach 1:
The system applies self-service by automatically extracting outline information from the original video and using it to guide users during capture. The guidance system autonomously analyzes the template material and provides real-time feedback without requiring manual intervention or complex user configuration, thereby maintaining high synthesis quality while keeping the operation simple for users.
3Measurement precision
If the system extracts and processes detailed outline information, then the video recording accuracy improves, but the device complexity increases
Solution Approach 1:
The system extracts only the essential outline information from the original video, separating this critical feature from the rest of the video content. By focusing on extracting and processing only the outline data rather than the entire video, the system achieves high measurement precision for guiding user capture while avoiding the complexity of processing and comparing complete video streams.
Data Source
AI summary
The disclosure provides a method, apparatus, electronic device, and storage medium for video recording. The method for video recording includes: extracting outline information of a first object in a template material, wherein the template material comprises the first object and a background; acquiring a recording material imported by a user based on the outline information, wherein the recording material comprises a second object corresponding to the first object; and adding the second object into a region corresponding to the first object in the template material to acquire a target video, wherein the target video comprises the second object and the background.