Content Quality Scoring for Adaptive Network Delivery
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Solution Overview
Problem
Content delivery through networks is affected by network-related and user device-related constraints, leading to suboptimal quality of experience (QoE) due to bandwidth bottlenecks, deployment schemes, and resource availability, resulting in lower quality of delivered content.
Innovation Solution
A quality scoring framework, such as the Video Viewing Quality Scoring (VVQS) method, determines quality scores based on QoE metrics, allowing user devices and content distribution networks to adjust output parameters and manage network-related parameters to improve content quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is delivered through a content distribution network to multiple user devices simultaneously, then the quantity of content delivery increases, but the quality of delivered content deteriorates due to bandwidth bottlenecks and network constraints
Solution Approach 1:
The patent implements dynamic quality adjustment where the content distribution network continuously monitors network conditions and user device capabilities, then adapts the quality level of delivered content in real-time. This allows the system to maintain optimal quality for each user device while maximizing overall delivery throughput, resolving the contradiction between quantity and quality.
Solution Approach 2:
The patent applies different quality levels to different content segments delivered to different user devices based on their specific network conditions and device capabilities. Instead of delivering uniform quality content to all users, the system tailors the quality locally to each user's context, thereby maintaining high overall productivity while ensuring acceptable quality for each individual delivery.
2Manufacturing precision
If the content distribution network increases the quality level of delivered content, then the content quality improves, but the network bandwidth consumption increases
Solution Approach 1:
The patent changes the quality parameters of delivered content dynamically based on network conditions and user device capabilities. By adjusting parameters such as resolution, bitrate, and format, the system optimizes the balance between content quality and bandwidth consumption, delivering the highest possible quality within available network resources.
Solution Approach 2:
The patent applies partial quality enhancement selectively to content segments where it provides the most value, rather than uniformly increasing quality across all content. This allows the system to improve perceived content quality while minimizing overall bandwidth consumption by focusing enhancements where they matter most to user experience.
3Measurement precision
If user devices process and analyze content to determine quality scores, then the content quality assessment becomes more accurate, but the device resource consumption increases
Solution Approach 1:
The patent performs preliminary quality assessment by analyzing metadata and delivery parameters before full content processing. This preliminary action provides a quick quality estimate that reduces the need for extensive device-side processing, thereby maintaining measurement precision while minimizing resource consumption.
Solution Approach 2:
The patent introduces an intermediary quality assessment mechanism where the content distribution network provides quality-related metadata and delivery information that user devices can use to determine quality scores without extensive processing of the actual content. This intermediary approach maintains measurement accuracy while significantly reducing device resource requirements.
Data Source
AI summary
Methods, systems, and apparatuses for improved content scoring and delivery are described. A quality score for delivered content may be determined based on one or more output metrics. A first quality score may be provided to a content distribution network. The content distribution network may instruct the user device, or the user device may determine without receiving such an instruction, of methods/processes by which it may improve the one or more output metrics associated with output of the delivered content by adjusting one or more output parameters. The first quality score may also be used by the content distribution network to determine methods/processes by which network-related parameters and constraints may be managed in order to improve the quality of delivered content.