Media File Aggregation via Content Feature Recognition
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Solution Overview
Problem
Current automatic aggregation of media files on mobile devices is inflexible and inefficient, often requiring manual selection and aggregation, which is time-consuming and does not meet user needs effectively.
Innovation Solution
A method that recognizes content features of media files, such as image and sound features, to automatically determine aggregation themes and synthesize media files into videos, allowing for more flexible and efficient aggregation based on content similarity and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic aggregation is performed based on description information (shooting time and shooting location), then aggregation can be performed automatically, but the aggregation results are monotonous and inflexible
Solution Approach 1:
The patent changes the aggregation parameters from traditional description information (shooting time, shooting location) to content features extracted through image recognition and sound recognition. This parameter change enables the system to aggregate media files based on content similarity, scene type, character appearance, and audio characteristics, thereby achieving both automatic aggregation and flexible aggregation results that meet diverse user needs.
2Adaptability or versatility
If manual selection and aggregation of media files is performed, then aggregation flexibility can be improved, but it requires a lot of time and energy from the user
Solution Approach 1:
The patent implements self-service by enabling the system to automatically recognize content features of media files, determine aggregation themes, and perform aggregation without user intervention. The image recognition module and sound recognition module automatically extract features, and the aggregation module automatically groups media files based on these features, freeing users from manual selection and aggregation operations while maintaining flexible aggregation results.
3Adaptability or versatility
If media files are aggregated based on content features recognized by the system, then aggregation flexibility and abundance of dimensions are improved, but the system complexity increases
Solution Approach 1:
The patent segments the complex media file aggregation system into independent functional modules: an image recognition module for extracting visual features, a sound recognition module for extracting audio features, and an aggregation module for grouping media files. This segmentation allows each module to perform its specific function independently, making the overall system more manageable and maintainable while achieving multi-dimensional content-based aggregation.
4Ease of operation
If aggregated media files are synthesized into a video to display results, then user experience is improved, but additional processing time and resources are required
Solution Approach 1:
The patent applies preliminary action by pre-processing media files to extract and store content features (image features and sound features) before aggregation. This pre-extraction of features enables the aggregation module to quickly match and group media files based on content similarity without requiring re-processing during aggregation, thereby reducing overall processing time while still providing enhanced user experience through video synthesis of aggregation results.
Data Source
AI summary
A media file processing method includes: recognizing content features of a target media file, wherein the content features include an image feature and/or a sound feature; determining a target aggregation theme of the target media file according to the recognized content features of the target media file; determining the target media file as media files under the target aggregation theme; and synthesizing the media files under the target aggregation theme in response to a video clip instruction with respect to the target aggregation theme, to obtain a target video corresponding to the target aggregation theme.