Personalized Media Content Management via Recognition Analysis
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Solution Overview
Problem
Current media content management systems lack the ability to efficiently generate and share personalized media content associated with environmental sensory information, such as images and audio, while ensuring accurate identification and selective access based on user relationships.
Innovation Solution
A system that utilizes mobile communication devices to capture and share sensory information, performing image and audio recognition to identify individuals and generate personalized content, which can be accessed selectively based on user relationships, with the ability to negotiate and filter sensory information for enhanced media content creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensory information is captured and shared from multiple mobile devices, then the diversity and quality of media content is improved, but the complexity of managing and processing the information increases
Solution Approach 1:
A server acts as an intermediary between multiple mobile devices, receiving sensory information from various devices, performing centralized image and audio recognition, and distributing personalized content back to users. This mediator approach consolidates the complexity of managing diverse sensory inputs from multiple sources into a single processing location, while still enabling rich media content creation from diverse perspectives.
2Measurement precision
If image and audio recognition is performed to identify individuals, then the accuracy of personalized content delivery is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs image and audio recognition analysis in advance to identify individuals present in sensory information, stores recognition results, and uses them for subsequent personalized content delivery. By performing the recognition action beforehand rather than in real-time during content delivery, the system achieves accurate individual identification while minimizing the time loss during actual content distribution.
3Ease of operation
If selective access to personal content is enabled based on user relationships, then the user experience and privacy control are improved, but the system complexity for managing access rights increases
Solution Approach 1:
The system automatically determines user relationships and grants appropriate access rights to personal content without requiring manual configuration by users. The server performs automated relationship analysis and content distribution based on identified individuals, enabling users to control their privacy through simple participation rather than complex settings, while the system handles the sophisticated access rights management automatically.
Data Source
AI summary
A system that incorporates teachings of the present disclosure may include, for example, obtaining first personal content associated with a first mobile communication device, obtaining recognition information associated with a target individual where the recognition information is associated with at least one of images of the target individual and audio of the target individual, obtaining second personal content associated with the first mobile communication device, and performing recognition analysis on the second personal content using the recognition information to detect the target individual being present in second images of the second personal content, where a communication device associated with the target individual is provided with access to the second images. Other embodiments are disclosed.