Video Generation Using Image Music Feature Matching
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Solution Overview
Problem
Existing video generation methods produce videos that are poor in richness due to the lack of effective integration of image and music features, resulting in unengaging and uninteresting outputs.
Innovation Solution
A method that acquires images and matched music, determines feature information for both, and selects a target rendering effect combination from pre-stored animation, special effects, or transitions to generate a video, enhancing the video's richness by incorporating these effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If video is generated from set of images and music only, then generation process is simple, but video richness is poor
Solution Approach 1:
The patent segments the video generation process into multiple independent modules: image feature extraction module, music feature extraction module, rendering effect selection module, and video synthesis module. Each module processes specific features (global and local) and contributes to the final output, allowing the system to achieve rich video effects through coordinated modular operations while maintaining manageable complexity
Solution Approach 2:
The patent combines multiple types of features (image global features, image local features, music global features, music local features) with multiple rendering effects (animation, special effects, transitions) to create a composite video output. This composite approach integrates diverse elements to achieve video richness without requiring a single complex generation process
2Adaptability or versatility
If multiple rendering effects are added to improve video richness, then video engagement increases, but processing complexity increases
Solution Approach 1:
The patent performs preliminary feature extraction and analysis on both images and music before selecting rendering effects. Global features and local features are extracted in advance, creating a foundation that guides subsequent rendering effect selection. This preliminary action reduces the complexity of real-time processing by pre-organizing feature data
Solution Approach 2:
The patent changes the parameters of rendering effects based on extracted features. The system adjusts animation parameters, special effect intensity, and transition timing according to the analyzed image and music features, allowing dynamic adaptation of processing complexity to match the content requirements while maintaining video engagement
Data Source
AI summary
The embodiments of the present disclosure provide a video generation method, an apparatus, a device, and a storage medium, the video generation method including: obtaining a plurality of images and music matched to the plurality of images; determining first feature information for the plurality of images and second feature information for the music; according to the first feature information, the second feature information and a plurality of pre-stored rendering effects, determining a target rendering effect combination; the rendering effects being animation, special effects or a transition; and generating a video according to the plurality of images, the music and the target rendering effect combination.