Multimedia File Push Using Visual Feature Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multimedia file push methods in social networks suffer from low accuracy due to random selection of users, resulting in insufficient feedback and reduced engagement, as they do not effectively target users interested in the pushed content.
Innovation Solution
A method and apparatus that utilize visual feature information of multimedia files to determine target user identities, pushing the files to users based on their interests reflected by the visual features, such as color, shape, or detail features, and establishing prediction models to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If random user selection is used for pushing multimedia files, then the push process is simple, but the push accuracy is low and feedback information is insufficient
Solution Approach 1:
The patent changes the parameter basis for user selection from random selection to visual feature-based selection. By extracting visual features (color, shape, texture) from multimedia files and matching them with user preferences, the system transforms the selection criterion from arbitrary to targeted, thereby improving push accuracy while maintaining operational feasibility through automated feature extraction and matching algorithms
Solution Approach 2:
The patent replaces the mechanical random selection process with an information-based matching system. Instead of using random number generation or simple rotation mechanisms, the system employs visual feature extraction, user preference analysis, and similarity matching algorithms to determine target users, substituting mechanical randomness with intelligent information processing
2Measurement precision
If visual feature information is used to determine target users, then push accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex push system into distinct functional modules: visual feature extraction module, user preference analysis module, matching algorithm module, and push execution module. Each module handles a specific task independently, which simplifies the overall system architecture and makes the complexity manageable through modular design and clear interface definitions
Solution Approach 2:
The patent introduces visual feature information as an intermediary between the multimedia file and the user selection process. Instead of directly comparing user profiles with entire multimedia files (which would be complex), the system extracts key visual features as intermediate representations that capture essential characteristics, thereby simplifying the matching process while maintaining accuracy
Data Source
AI summary
The present disclosure discloses a multimedia file push method and apparatus, and relates to the field of network technologies. The method includes: obtaining first visual feature information, where the first visual feature information is visual feature information of a to-be-pushed multimedia file; determining a first user identity according to the first visual feature information, where the first user identity is a push target user identity of the to-be-pushed multimedia file; and pushing the to-be-pushed multimedia file according to the first user identity.