Video Workflow Automation Platform for Scalable Live Event Management
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Solution Overview
Problem
Conventional systems for webcasting large events require numerous human operators to manage video feed workflows, leading to scalability issues, reliability concerns due to human error, and lack of flexibility in resource management and format support.
Innovation Solution
A video workflow automation platform (VWAP) that automatically provisions resources for acquiring, encoding, and publishing live video feeds, enabling dynamic scheduling, encoding, and format conversion without human intervention, using a network architecture with content acquisition, encoding, and publishing resources connected via a video router.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If human operators are used to coordinate video feed workflows, then flexibility in managing individual feeds is maintained, but scalability deteriorates as the number of operators increases proportionally with the number of video feeds
Solution Approach 1:
The system enables automated self-provisioning of resources through workflow automation. The workflow engine automatically selects and provisions content acquisition resources, encoding resources, and publishing resources without human intervention, allowing the system to manage itself and eliminating the need for human operators to scale with each additional video feed.
Solution Approach 2:
A workflow automation platform acts as an intermediary between video feed requests and resource provisioning. This automated intermediary coordinates all aspects of video feed management including resource selection, provisioning, routing configuration, and format conversion, replacing human operators while maintaining system flexibility.
2Productivity
If multiple human operators coordinate simultaneously, then multiple video feeds can be managed, but reliability deteriorates due to increased human error potential
Solution Approach 1:
The system replaces the mechanical system of human coordination with an automated workflow engine that executes predefined processes. This substitution eliminates human error in workflow coordination while maintaining the ability to manage multiple video feeds simultaneously, as the automated system follows consistent, error-free procedures for resource provisioning and feed management.
Solution Approach 2:
The workflow automation system incorporates feedback mechanisms to monitor and verify each step of the video feed provisioning process. The system automatically detects issues, validates resource configurations, and ensures proper routing setup, providing continuous feedback loops that maintain high reliability across multiple concurrent video feeds without human intervention.
3Device complexity
If preconfigured resources are used, then system simplicity is maintained, but adaptability deteriorates as dynamic control over content scheduling and routing is lost
Solution Approach 1:
The system transitions from static preconfigured resources to dynamic resource provisioning. The workflow engine automatically selects appropriate resources based on real-time requirements, dynamically configures routing paths, and adjusts encoding formats according to client device capabilities. This dynamic approach maintains system simplicity through automation while providing full adaptability for content scheduling and routing control.
Solution Approach 2:
The workflow automation system dynamically changes system parameters including resource allocation, routing configurations, and encoding formats based on workflow requirements and client device characteristics. This parameter adaptation occurs automatically without requiring complex manual reconfiguration, maintaining simplicity while achieving high versatility in content delivery.
4Manufacturing precision
If separate encoders are used for each format, then format quality is optimized, but productivity deteriorates due to increased resource requirements and difficulty in scaling
Solution Approach 1:
The system employs universal encoding resources that can handle multiple video formats and client device requirements. The workflow engine intelligently routes video feeds to appropriate encoding capabilities and configures output formats based on client device profiles. This multi-functional approach maintains encoding quality for different formats while significantly improving resource efficiency and scalability compared to dedicated encoders for each format.
Data Source
AI summary
A method and system for a video workflow automation platform (VWAP) is described.


