Media Content Distribution via Event-Based Perspective Selection
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Solution Overview
Problem
The increasing demand for media content distribution across communication networks, driven by smartphones and social networks, poses challenges in managing bandwidth and storage capacity, particularly in sharing live or recorded content from multiple devices during events.
Innovation Solution
A system that identifies common events through orientation and temporal information from multiple media content instances, determines viewing perspectives, and prioritizes access based on device resources, network conditions, and content quality, using servers to alert users and manage content distribution efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple media content instances are distributed across the network, then content availability and user access are improved, but bandwidth consumption and network traffic congestion increase
Solution Approach 1:
The patent merges multiple media content instances that represent the same event into a unified content group. By identifying common events through orientation and temporal information matching, the system combines redundant content transmissions and enables efficient distribution where one instance can serve multiple users, thereby reducing overall bandwidth consumption while maintaining content availability.
Solution Approach 2:
The system creates a multi-functional content distribution mechanism where a single media content instance can serve multiple purposes and multiple users simultaneously. By establishing event-based content grouping, one content instance becomes universally accessible to all users interested in that event, eliminating the need for separate dedicated transmissions for each user and reducing network traffic.
2Adaptability or versatility
If all viewing perspectives are made available to users, then content quality and user choice are improved, but device resource consumption and processing requirements increase
Solution Approach 1:
The patent applies local quality by providing different levels of content detail to different users based on their specific needs and device capabilities. Instead of uniformly providing all viewing perspectives to every user, the system selectively delivers appropriate content quality and perspective information tailored to each user's device resources, network conditions, and preferences, thereby reducing overall processing requirements while maintaining high quality where needed.
Solution Approach 2:
The system implements partial action by providing users with a subset of available viewing perspectives rather than all possible perspectives. Based on device resource assessment, the system selectively delivers the most relevant and highest-quality perspectives for each user, avoiding the excessive processing burden of handling all perspectives while still providing excellent content quality through curated selection.
3Productivity
If content distribution is performed without prioritization, then system simplicity is maintained, but network efficiency and content delivery performance deteriorate
Solution Approach 1:
The patent applies preliminary action by performing prioritization of media content instances before actual distribution occurs. The system pre-assesses device resources, network conditions, and content characteristics to determine distribution priorities in advance. This preliminary prioritization enables efficient content delivery during distribution without requiring complex real-time decision-making, thereby improving productivity while keeping the distribution mechanism relatively simple.
Solution Approach 2:
The system incorporates feedback mechanisms where device resource information, network conditions, and user preferences are continuously monitored and fed back to the prioritization algorithm. This feedback enables dynamic adjustment of content distribution priorities, ensuring optimal content delivery performance while adapting to changing conditions. The feedback loop automates complex prioritization decisions, improving productivity without proportionally increasing system complexity.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, receiving a plurality of media content instances, where each media content instance of the plurality of media content instances comprises origination information, identifying a common event from the origination information of each media content instance of the plurality of media content instances, determining a plurality of viewing perspectives of the plurality of media content instances responsive to identifying the common event, and sending an alert to a social network to enable access to a viewing perspective of the plurality of viewing perspectives.


