Video Distribution Software Application for Source Quality Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional video content distribution systems require dedicated hardware, such as a change over box, to be located close to the video server for optimal quality, which is impractical due to increased resource demands and potential corruption during transmission, especially in remote data centers.
Innovation Solution
A computer-implemented method using a change over application that computes scores for origination sources based on IP addresses, allowing for the selection of optimal distribution sources without the need for dedicated hardware, enabling continuous optimization of video content delivery regardless of server location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a change over box is located close to the video server, then video content quality is maintained, but device complexity and resource demands increase
Solution Approach 1:
The patent extracts the changeover functionality from a dedicated hardware box and relocates it to software running on the video server itself. The video server executes a changeover application that monitors content quality from multiple sources and automatically switches between them, eliminating the need for a separate change over box while maintaining quality assurance.
Solution Approach 2:
The patent combines the changeover functionality with the video server into a single integrated system. The video server now performs both video processing and quality monitoring/changeover decisions, merging previously separate functions into one unified device, thereby reducing overall system complexity.
2Reliability
If a change over box is located close to the video server, then transmission corruption is minimized, but ease of operation and deployment flexibility are reduced
Solution Approach 1:
The video server performs quality monitoring and changeover operations autonomously through its own processing capabilities. The server receives content from multiple sources, evaluates quality metrics, and automatically switches sources without external intervention, enabling the system to serve itself and eliminating deployment constraints related to hardware placement.
3Measurement precision
If multiple origination sources are monitored for quality, then distribution source selection accuracy improves, but use of energy and computational resources increase
Solution Approach 1:
The system monitors quality metrics from multiple origination sources simultaneously but only fully processes and switches to alternative sources when quality thresholds are breached. Normal operation continues with the primary source without exhaustive analysis of all backup sources, performing partial monitoring that balances accuracy with resource conservation.
Data Source
AI summary
In one embodiment, a change over application distributes video content received from multiple origination sources. The change over application computes a first score based on a portion of first origination video content received from a first origination source, where the first origination source is associated with a first IP address. The change over application then determines a second origination source of second origination video content based on the first score and a selection criterion, where the second origination source is associated with a second IP address. Subsequently, the change over application transmits portions of the second origination video content received from the second origination source to the destination as portions of the distribution video content. Advantageously, unlike previous approaches to optimizing distribution video content, because a processor executes the change over application, dedicated hardware is not required.