Multifaceted Video Benchmarking System for Objective Assessment

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Solution Overview

Problem

Current video benchmarking methods are highly subjective and lack quantifiability, making it difficult to objectively assess video processing performance, functionality, and quality of graphics processors.

Innovation Solution

A system and method for quantitative video benchmarking that combines automatic measurement of quantitative aspects with human input for qualitative observations to gauge video processing performance, functionality, and quality, using a stimulus processed by a processor to generate output results compared to reference and previous results for scoring.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If video benchmarking uses natural images and subjective evaluation methods, then it can assess real-world video processing quality, but it becomes highly subjective and difficult to quantify

Engineering Contradiction:
Improvevideo processing assessment accuracyVSAvoidbenchmarking automation level
Core Design Contradiction:
Measurement precisionVSExtent of automation

Solution Approach 1:

The benchmarking system segments video evaluation into three distinct analysis types: performance analysis (quantitative, automated), functionality analysis (objective capability testing), and quality analysis (subjective human evaluation). This segmentation allows each aspect to be evaluated with appropriate methods while maintaining overall objectivity and automation where possible.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary framework that coordinates between automated quantitative measurements and human subjective evaluations. The framework processes automated results and integrates them with human expert assessments, creating a balanced benchmarking approach that maintains both objectivity and real-world relevance.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Extent of automation

If video benchmarking focuses on quantifiable metrics, then automation and reproducibility improve, but the ability to assess subjective video quality diminishes

Engineering Contradiction:
Improvebenchmarking automation levelVSAvoidsubjective quality assessment capability
Core Design Contradiction:
Extent of automationVSEase of operation

Solution Approach 1:

The system merges automated quantitative benchmarking with human subjective quality assessment into a unified framework. Automated performance and functionality analyses are combined with expert quality evaluations, allowing the system to maintain high automation levels while preserving the ability to assess subjective video quality through structured human input.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The benchmarking system is designed to perform multiple functions: automated performance measurement, functionality testing, and quality assessment. This multi-functional approach allows a single system to address both quantifiable metrics and subjective quality, making the benchmarking process both automated and comprehensive.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If video benchmarking uses diverse natural images and complex scenarios, then it better represents real-world performance, but the complexity of the benchmarking system increases

Engineering Contradiction:
Improvevideo processing test coverageVSAvoidbenchmarking system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the complex benchmarking task into three manageable analysis types (performance, functionality, quality), each with its own standardized procedures. This segmentation reduces system complexity by organizing diverse test scenarios into structured categories while maintaining comprehensive coverage of real-world video processing conditions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The benchmarking system utilizes parameter changes in video processing (resolution, format, compression levels, processing modes) to test adaptability without requiring complete system redesign for each scenario. By systematically varying parameters within a unified framework, the system achieves high versatility while controlling complexity.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS7647203B1Multifaceted video benchmarking system, method, and computer program product
Publication Date: 2010.01.12 NVIDIA CORP
  • US7647203B1 patent drawing
  • US7647203B1 patent drawing
  • US7647203B1 patent drawing

AI summary

A system, method, and computer program product are provided for gauging video processing. In use, results are identified with respect to a first analysis for testing a performance of video processing of a processor, a second analysis for testing a functionality of the video processing of the processor, and a third analysis for testing a quality of the video processing of the processor. To this end, the video processing of the processor may be gauged based on the results.