Face Recognition Video Recommendation Without TV Login
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Solution Overview
Problem
Existing television systems require users to log in before receiving video recommendations, which is a cumbersome process and not user-friendly.
Innovation Solution
A face recognition-based method that captures a user's face image, extracts face features, and compares them with an archive to recommend personalized or general video content based on matching face feature sets, reducing the need for manual login.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users log in to their accounts on the television before receiving video recommendations, then the system can identify users and provide personalized recommendations, but the operation process becomes complicated and inconvenient for users
Solution Approach 1:
The patent replaces the manual login mechanism (mechanical operation) with automatic face recognition technology. The system uses a camera to capture user faces and automatically identifies users through feature extraction and comparison with stored face data, eliminating the need for users to manually enter login credentials or navigate login interfaces, thus significantly improving operation convenience while maintaining accurate user identification
Solution Approach 2:
The system performs automatic user identification and recommendation without requiring active user participation in the login process. The face recognition system automatically detects faces in the video stream, extracts features, and matches them with stored user data to initiate personalized recommendations, making the system serve itself rather than requiring users to perform manual login operations
2Ease of operation
If the television system automatically recognizes users through face detection, then the login process is simplified and user convenience is improved, but the system complexity increases due to additional hardware and processing requirements
Solution Approach 1:
The patent leverages the existing camera functionality of the television to serve dual purposes: both capturing video content and detecting user faces for identification. By utilizing the camera's existing capabilities for face detection and feature extraction, the system avoids adding separate dedicated hardware, thereby reducing the increase in system complexity while still achieving automatic user recognition and simplified login functionality
Data Source
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Figure 3
AI summary
A face recognition-based video recommendation method and apparatus, and a television. The method comprises: acquiring a face image, the face image comprising a face of at least one user (S1); acquiring, according to a face recognition algorithm, a face feature set of the user from the face image (S2); comparing the face feature set with a face feature set in an archive (S3); and if the face feature set of the at least one user matches the face feature set in the archive, displaying a first video recommendation set, and if each face feature set does not match the face feature set in the archive, display a second video recommendation set (S4). Using the method to recommend videos to users reduces operation steps of the users choosing to watch videos and provides convenience for the users to use.