Selective Content Broadcasting via Facial Detection
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Solution Overview
Problem
Current wireless networks lack efficient solutions for users to selectively share and broadcast bandwidth-intensive content, such as video, across mobile devices, particularly in social networking contexts, with limited options for content sharing and distribution.
Innovation Solution
A system that allows users to register for a service to manage broadcasts of content, select recording devices, create lists for followers, and specify preferences for content sharing, including geographic and temporal conditions, using mobile devices to record and stream content to followers, with features like facial detection for enhanced presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users want to share bandwidth-intensive content (video, audio) across mobile devices, then content sharing capability is improved, but network bandwidth consumption increases
Solution Approach 1:
The system segments content distribution by creating hierarchical groups (broadcasters, followers, sub-groups) and distributing content selectively within these segments rather than universally, reducing unnecessary bandwidth consumption while maintaining versatile sharing capabilities
Solution Approach 2:
The system performs preliminary actions by pre-configuring content preferences, geographic conditions, temporal conditions, and group memberships before actual content sharing occurs, enabling efficient automated content distribution that reduces redundant network traffic
2Adaptability or versatility
If users want selective content sharing with specific groups, then content distribution control is improved, but system complexity increases
Solution Approach 1:
The system applies universality by designing multi-functional components that handle multiple tasks: the same platform manages group creation, content recording, geographic condition monitoring, temporal condition monitoring, and content distribution simultaneously, reducing overall system complexity despite sophisticated control requirements
Solution Approach 2:
The system implements self-service through automated content distribution mechanisms that automatically monitor geographic and temporal conditions, select appropriate content and recipient groups, and execute broadcasting without manual intervention, simplifying the user interface while maintaining complex control capabilities
3Ease of operation
If real-time content streaming is implemented, then user experience is improved, but network resource consumption increases
Solution Approach 1:
The system uses periodic action by implementing scheduled content broadcasting based on temporal conditions, where content is streamed at predetermined times or intervals rather than continuously, improving user experience through timely content delivery while reducing overall network resource consumption
Solution Approach 2:
The system applies local quality by providing real-time streaming selectively to specific geographic locations and user groups based on predetermined conditions, rather than universal real-time streaming, thereby enhancing user experience for relevant users while conserving network resources for less relevant transmissions
Data Source
AI summary
User imaging terminals (such as mobile phones with camera or video functionality) may be used to take images that are used to create an image stream of an event. In one example, a device may receive the images and transmit the images to one or more second users. The device may receive indications, from second devices associated with the second users, of whether the images are approved by the second users for incorporation into an image stream; and perform facial detection of the images to detect faces within the images. The device may generate the image stream, based on the images that are approved by the second users and based on results of the facial detection of the images; and transmit the image stream to one or more display devices.