Automated Video Quality Assurance via Frame Synchronization

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Solution Overview

Problem

Manual video quality assessment is time-consuming and inefficient, especially when testing various video content on different devices with diverse configurations, as it requires analyzing numerous frames and handling variations in codecs, resolutions, and device platforms.

Innovation Solution

An automated method that synchronizes test video frames with reference frames by shifting and comparing sets of frames, using similarity metrics like PSNR and SSIM, to generate a synchronized output list and analyze quality based on predefined metrics, thereby reducing manual effort and increasing accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual verification of video playback is performed, then quality assessment can be conducted, but significant time and effort are required

Engineering Contradiction:

Improvequality assessment accuracyVSAvoidtesting time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs automated self-assessment of video quality by comparing test video frames against reference frames using objective metrics, eliminating the need for manual verification while maintaining assessment accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual visual inspection is replaced with automated computational algorithms that use objective quality metrics (PSNR, SSIM, VIF) to assess video quality, substituting human effort with machine-based measurement

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If each frame is analyzed manually to assess video quality, then comprehensive quality evaluation is achieved, but the task becomes tedious and time-consuming

Engineering Contradiction:

Improvequality evaluation completenessVSAvoidoperational simplicity

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The automated system performs comprehensive frame-by-frame quality assessment without human intervention, using algorithms to objectively evaluate each frame's quality metrics

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual frame analysis is replaced with automated computational processes that calculate quality metrics for each frame, maintaining evaluation completeness while eliminating operational complexity

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If video testing is performed on multiple devices with different configurations, then comprehensive compatibility is ensured, but testing complexity increases significantly

Engineering Contradiction:

Improvedevice compatibilityVSAvoidtesting system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The automated quality assessment system is designed to work universally across multiple device platforms by comparing video output against platform-specific reference videos, enabling comprehensive compatibility testing through a single unified approach

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system adapts to different device configurations by using platform-specific reference videos that account for variations in codecs, resolutions, and device capabilities, allowing comprehensive testing without increasing system complexity

Inventive Principle:

Principle #35Parameter changes

4Measurement precision

If synchronization of test frames with reference frames is performed, then accurate quality comparison is achieved, but computational complexity increases

Engineering Contradiction:

Improveframe comparison accuracyVSAvoidsynchronization complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

Reference videos are pre-generated for each platform and configuration, establishing synchronization benchmarks in advance that simplify the actual comparison process and reduce real-time computational complexity

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20240412484A1Method of automated video quality assurance

Publication Date: 2024.12.12 ARRIS ENTERPRISES LLC

AI summary

The present disclosure describes method for automated video quality assurance. Test video and corresponding reference video comprising plurality of test frames and reference frames is received. Plurality of test frames is compared with plurality of reference frames. Synchronized output list having one or more test frames is generated until each test frame matches each reference frame in sequential order. When test frame fails to match reference frame (i) an unmatched test frame or reference frame is shifted; and (ii) set of subsequent test frames is compared with set of subsequent reference frames. When set of subsequent test frames matches set of subsequent reference frames, synchronized output list is updated by adding set of subsequent test frames. When set of subsequent test frames fails to match set of subsequent reference frames, each of remaining test frames is compared with reference frames and synchronized output list is updated.