Live Streaming Platform Cloud Transcoding and Analytics
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Solution Overview
Problem
Traditional multimedia streaming systems face challenges in efficiently distributing live events to multiple destinations due to high bandwidth requirements for onsite encoding and publishing, and lack unified audience analytics, making it costly and non-scalable.
Innovation Solution
A platform with an ingest and decoding module, processing and encoding module, dynamic video routing module, and control module that enables cloud transcoding and real-time analytics, allowing for efficient bandwidth use and unified viewer analytics across heterogeneous platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional onsite encoding and publishing is used to distribute live events to multiple destinations, then content can be delivered to multiple platforms, but bandwidth requirements increase directly with the number of destinations
Solution Approach 1:
The patent creates multiple encoded copies of the same video content, each optimized for different delivery platforms. Instead of transmitting the original content to multiple destinations, the system generates platform-specific copies (e.g., different resolutions, formats, or compression levels) that can be delivered efficiently to each destination type, thereby reducing the total bandwidth required compared to distributing the original content unchanged to all platforms.
Solution Approach 2:
The patent segments the video content into multiple encoded versions with different characteristics (resolution, bitrate, format). Each segment is tailored for specific platform requirements, allowing the system to deliver only the necessary segments to each destination rather than the full original content, thus optimizing bandwidth utilization across multiple destinations.
2Adaptability or versatility
If traditional streaming methods are used for each destination, then content can be delivered to heterogeneous platforms, but the system becomes costly and does not scale efficiently
Solution Approach 1:
The patent implements a universal encoding and publishing system that can handle multiple destination types through a single integrated platform. The system uses standardized interfaces and common processing pipelines that can adapt to different platform requirements, eliminating the need for separate dedicated systems for each destination type. This multi-functional approach enables efficient scaling as new platforms are added without proportionally increasing system complexity or cost.
3Measurement precision
If separate tools are used for each destination to obtain KPIs, then analytics can be collected for each platform, but no unified view of audience across multiple destinations is available
Solution Approach 1:
The patent merges analytics data from multiple destination-specific tools into a unified view. The system integrates KPI collection mechanisms that aggregate audience information across all platforms while maintaining the ability to analyze platform-specific metrics. This combination approach preserves detailed platform-level analytics while simultaneously providing a consolidated audience perspective, eliminating the information loss that would occur with separate analysis tools.
4Adaptability or versatility
If additional media is arranged for pre-event and post-event coverage, then viewers can be engaged before and after the live event, but additional management effort is required
Solution Approach 1:
The patent performs preliminary encoding and preparation of video content in advance of the live event, creating pre-event and post-event media segments that can be automatically delivered to various platforms. By pre-processing the content and setting up automated delivery schedules, the system reduces the management effort required during the actual event while still providing extended content coverage before and after the main broadcast.
Data Source
AI summary
A live broadcast streaming system is provided, comprises an ingest decoding module; a processing and encoding module; a video routing module; a collection module; a real-time analysis module; a reporting module; and a control module. A media streaming event can be collected from one source and delivered to heterogenous viewing platforms, while collecting viewer analytics from the heterogenous platforms to provide an aggregated view of analytics.