Ad Hoc Video Pipelines With On-Demand Aggregator Provisioning
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Solution Overview
Problem
Existing infrastructure for streaming ad hoc live events is inefficient as it requires continuous resource allocation and normalization of signals, leading to resource waste and complexity due to static configurations.
Innovation Solution
Dynamic generation and teardown of media pipelines based on the schedule of each ad hoc event, allowing for customized configurations and resource allocation only when needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous resource allocation is used for ad hoc event streaming infrastructure, then availability and reliability are improved, but resource waste and cost increase
Solution Approach 1:
The patent implements dynamic resource allocation by creating media pipelines on-demand before ad hoc events and tearing them down afterward. The system dynamically generates manifests and configures transcoding parameters based on event schedules, allowing infrastructure to adapt its state from static continuous operation to dynamic on-demand operation, thereby reducing resource waste while maintaining reliability when needed.
Solution Approach 2:
The system performs preliminary actions by pre-configuring media pipelines and generating manifests before events occur. The infrastructure is prepared in advance based on scheduled events, allowing rapid deployment without continuous resource consumption. This enables the system to be ready for events when needed while avoiding unnecessary resource allocation during idle periods.
2Device complexity
If static configuration is used for media pipeline, then infrastructure simplicity is improved, but adaptability to different event configurations deteriorates
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting transcoding parameters, resolution, and pipeline configuration based on the specific event requirements. Instead of using a fixed static configuration, the system modifies parameters such as video resolution, frame rate, and codec settings according to the ingested signal characteristics and event schedule, enabling adaptability while maintaining a standardized pipeline architecture.
Solution Approach 2:
The media pipeline is segmented into modular components including ingest nodes, transcoding nodes, packaging nodes, and distribution points. This segmentation allows each component to be independently configured and optimized for different event types while maintaining overall system simplicity. The modular structure enables flexible adaptation to various event configurations without requiring complete system redesign.
3Stability of the object's composition
If normalization of signals is required for all events, then pipeline consistency is improved, but processing complexity and time increase
Solution Approach 1:
The patent implements local quality by applying normalization and transcoding operations selectively based on the specific event and signal characteristics rather than uniformly for all events. The system analyzes the ingested signal properties and applies appropriate processing parameters locally to each event stream, maintaining pipeline consistency where needed while reducing unnecessary processing complexity for events that require minimal adjustment.
Data Source
AI summary
Linear playout provides media content according to a schedule, including live events. Media pipelines for ingesting and providing live event content may be allocated and torn down before and after each live event. Allocating media pipelines for each live event in a season reduces computational resource consumption.