Face Detection for Personalized Media Display
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Solution Overview
Problem
Existing media content display technologies do not effectively allow for personalized viewing experiences when multiple individuals are present, as they lack the ability to detect and respond to viewer faces within the media content.
Innovation Solution
A method and apparatus that utilize face detection technology to identify and respond to viewer faces by generating modified displays, such as zoomed or tiled presentations, to provide a personalized viewing experience by comparing detected faces with faces within the media content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional display methods are used for media content with multiple people, then the display is simple and straightforward, but individuals cannot easily view themselves or have personalized viewing experiences
Solution Approach 1:
The system performs face detection and identification in advance by comparing detected faces with faces in the media content before generating the modified display. This preliminary action allows the system to pre-determine which individuals are present and prepare personalized display configurations, enabling seamless personalized viewing experiences without requiring manual intervention during playback.
Solution Approach 2:
The system applies different display treatments to different regions or portions of the media content based on local face detection results. By identifying specific faces and applying personalized modifications (such as zooming, highlighting, or overlaying information) to those specific regions, the system provides localized personalization while maintaining the overall context of the media content.
2Adaptability or versatility
If face detection and modified display generation are implemented, then personalized viewing experience is provided, but device complexity increases
Solution Approach 1:
The system creates simplified representations or copies of face data by comparing detected faces with pre-stored face information from the media content. Instead of performing complex real-time analysis of entire video frames or high-resolution images, the system works with extracted face features and simplified data structures, reducing computational complexity while maintaining accurate face identification and personalized display generation.
3Loss of information
If face detection is performed to enable personalized displays, then user experience is enhanced, but processing time and computational resources increase
Solution Approach 1:
The system extracts only the essential face features and identifies only the relevant faces present in the media content, rather than processing the entire media content or analyzing all possible elements. By extracting only the necessary face data and comparing it with pre-stored reference faces, the system minimizes processing time and computational resource requirements while still enabling accurate personalized display generation.
Data Source
AI summary
In accordance with an example embodiment a method and apparatus is provided. The method comprises receiving at least one face as an input. A presence of the at least one face in a media content is determined and a modified display of the media content is generated if the at least one face is determined to be present in the media content.