Video Comparison Model Definition Difference Analysis

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Solution Overview

Problem

Existing methods for evaluating video definition are inadequate when comparing two videos, as they fail to guarantee accuracy in determining the difference between them.

Innovation Solution

A video comparison method and apparatus that utilize a video comparison model to extract definition feature vectors from both videos using the same feature extraction mechanism, allowing for accurate determination of definition differences between them.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a single video evaluation method is used for both videos, then the evaluation process is simple, but the accuracy of definition difference between two videos cannot be guaranteed

Engineering Contradiction:
Improveaccuracy of definition differenceVSAvoidcomplexity of feature extraction mechanism
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the feature extraction process into two separate mechanisms: a first feature extraction mechanism for extracting features from the first video, and a second feature extraction mechanism for extracting features from the second video. This segmentation allows each mechanism to be optimized independently for its specific video, thereby improving measurement precision while managing complexity through functional division.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by allowing the first and second feature extraction mechanisms to have different structures or parameters tailored to the specific characteristics of each video. This enables each extraction mechanism to be locally optimized for its target video, improving the accuracy of definition difference measurement without requiring a single overly complex universal mechanism.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If different feature extraction mechanisms are used for the two videos, then the extraction can be optimized for each video, but the comparison accuracy deteriorates due to inconsistent feature spaces

Engineering Contradiction:
Improveextraction accuracyVSAvoidconsistency of feature space
Core Design Contradiction:
Measurement precisionVSStability of the object's composition

Solution Approach 1:

The patent ensures that both the first and second feature extraction mechanisms extract features into the same feature space or representation format. This creates an equipotential state where features from both videos are comparable, maintaining stability in the feature space while allowing each extraction mechanism to be optimized for its respective video's characteristics.

Inventive Principle:
Principle #12Equipotentiality

Solution Approach 2:

The patent designs the feature extraction mechanisms to be universal in their output format and feature representation, allowing them to handle different video inputs while producing comparable features. This multi-functionality enables each mechanism to be optimized for its specific video while maintaining compatibility for accurate comparison.

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

3Productivity

If a comprehensive video comparison model is deployed, then the end-to-end solution improves deployment efficiency, but the model complexity increases

Engineering Contradiction:
Improvedeployment efficiencyVSAvoidmodel complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent merges the first feature extraction mechanism, the second feature extraction mechanism, and the definition difference determination mechanism into a single integrated video comparison model. This end-to-end combination improves deployment efficiency by eliminating the need for separate processing steps while managing model complexity through a unified architecture that can be trained and deployed as one system.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20220237917A1Video comparison method and apparatus, computer device, and storage medium
Publication Date: 2022.07.28 TENCENT TECHNOLOGY (SHENZHEN) CO LTD
  • US20220237917A1 patent drawing
  • US20220237917A1 patent drawing
  • US20220237917A1 patent drawing

AI summary

A video comparison method includes: obtaining a first video and a second video; obtaining a first image sequence from the first video, and obtaining a second image sequence from the second video; extracting a first definition feature vector of the first image sequence by using a first feature extraction mechanism of a video comparison model; extracting a second definition feature vector of the second image sequence by using a second feature extraction mechanism of the video comparison model, the first feature extraction mechanism being the same as the second feature extraction mechanism; and determining a definition difference between the first video and the second video based on the first definition feature vector and the second definition feature vector by using a definition difference analysis mechanism of the video comparison model.