Video Proxy Manifest Optimization for Adaptive HTTP Streaming
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Solution Overview
Problem
Existing video streaming technologies lack a flexible and generic framework for optimizing video content delivery across different network elements, leading to inefficient video chunk requests based on network limitations and user device capabilities.
Innovation Solution
A video optimization proxy (VOP) system that operates on top of a traditional HTTP proxy, analyzing HTTP traffic to control video content transfer, selecting optimal transfer rates and resolutions, and generating optimized manifest files for seamless video delivery across various network elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional HTTP proxy is used for video content transfer, then the system is simple and easy to implement, but it lacks the capability to optimize video transfer rates and resolutions based on network conditions and user device capabilities
Solution Approach 1:
The patent introduces a video optimization proxy server as an intermediary component between the HTTP proxy and the video content delivery system. This intermediary analyzes HTTP traffic, determines video content requests, and optimizes transfer parameters without requiring complete system redesign. The intermediary approach adds optimization capability while maintaining relative system simplicity.
Solution Approach 2:
The video optimization proxy server is designed to handle multiple functions: traffic analysis, video content identification, network condition assessment, device capability evaluation, and parameter optimization. This multi-functional design consolidates various optimization tasks into a single system component, improving adaptability without proportionally increasing complexity.
2Productivity
If video content is delivered without optimization control, then the system operation is simple, but video delivery efficiency is poor due to inability to adapt to network limitations and device capabilities
Solution Approach 1:
The patent implements a feedback mechanism where the video optimization proxy server continuously monitors network conditions and user device capabilities, then adjusts video transfer rates and resolutions dynamically. This feedback loop enables adaptive optimization that improves delivery efficiency while keeping control mechanisms manageable through automated decision-making algorithms.
Solution Approach 2:
The system transitions from static video delivery parameters to dynamic parameter adjustment. The video optimization proxy server continuously adapts transfer rates and resolutions based on real-time network conditions and device capabilities, enabling efficient video delivery without requiring complex manual control mechanisms.
3Measurement precision
If manual optimization of video transfer parameters is performed, then optimization precision can be high, but the operation becomes complex and time-consuming
Solution Approach 1:
The video optimization proxy server performs self-service by automatically analyzing traffic, assessing network conditions, evaluating device capabilities, and determining optimal transfer parameters without manual intervention. This automation maintains high optimization precision while significantly improving ease of operation.
Solution Approach 2:
The system performs preliminary analysis of network conditions and device capabilities before video content transfer begins. By pre-assessing these factors and pre-determining optimal parameters, the system achieves high optimization precision automatically without requiring complex real-time manual adjustments during playback.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a machine-readable storage medium, including executable instructions that, when executed by a processing system including a processor, facilitate performance of operations that include assuming control of a video content transfer between a video server and a video client for HTTP traffic responsive to determining the HTTP traffic is for video content, generating a video transfer rate selection and a video transfer resolution selection for a requested video chunk of a time slot of the video content, generating an optimized manifest file for the requested video chunk, and publishing the optimized manifest file to the video client, wherein the video client request the requested video chunk from the video server based on the optimized manifest. Other embodiments are disclosed.


