E-commerce Video Generation Using Audio-Synchronized Template Merging
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Solution Overview
Problem
In e-commerce video generation, existing technologies fail to effectively display commodity characteristics in multiple aspects, dimensions, and angles, leading to inefficient video production and user experience.
Innovation Solution
A method and apparatus that determine a production template based on user input, acquire relevant commodity pictures or videos, process them to generate a video by transferring music to the frequency domain, calculating accent points and beats, and merging video segments with transition animation, while also performing special effects and filtering to enhance video appeal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated video generation is implemented, then productivity is improved, but manufacturing precision deteriorates
Solution Approach 1:
The video generation process is divided into distinct modules: template selection module, material acquisition module, audio processing module (frequency domain transformation, accent point detection, beat calculation), video segment extraction module, and merging module. This segmentation enables automated high-speed processing while maintaining quality through specialized handling of each component.
Solution Approach 2:
The system transforms music from time domain to frequency domain, calculates accent points and beats through parameter analysis, and uses these parameters to control video segment merging. By changing the processing parameters and using automated parameter optimization, the system maintains manufacturing precision while improving productivity.
2Manufacturing precision
If complex processing is applied to showcase commodity characteristics, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The system uses universal templates that can be applied to different commodity types, and a unified processing pipeline that handles various video materials (images, videos) through the same audio-synchronized merging process. This multi-functionality reduces device complexity while maintaining the ability to showcase diverse commodity characteristics.
Solution Approach 2:
The system uses template-based generation where standardized video structures and transitions are copied and applied to different commodity materials. This copying approach simplifies the system architecture while enabling high-quality output by reusing proven effective video patterns.
3Productivity
If automated template-based generation is used, then productivity is improved, but adaptability deteriorates
Solution Approach 1:
The system dynamically adapts templates based on the specific commodity information and user selections. The template selection and configuration can be adjusted according to different commodity types, allowing the automated system to maintain both high productivity and adaptability to various requirements.
Data Source
AI summary
A video generation method and apparatus. The method may include: determining one template from multiple types of templates as a production template on the basis of an input instruction of a user (201); in response to determining that the type of commodity information inputted by the user is matched with the type of the production template, obtaining a commodity picture or commodity video material related to the commodity information (202); and processing the commodity picture or commodity video material on the basis of the production template to generate a commodity video (203).