Video Noise Coordination via Statistical Analysis
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Solution Overview
Problem
Existing video editing techniques struggle to coordinate the appearance of noise across multiple videos shot with different devices and under varying conditions, often requiring manual adjustments by editors to ensure consistency, which can be time-consuming and lead to incongruity in the final product.
Innovation Solution
An image processing apparatus that calculates noise evaluation values for each video and adds noise accordingly to synchronize the noise appearance across multiple videos, using noise property obtainment, evaluation, and addition units to automate the process, eliminating the need for manual adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If noise is added universally throughout videos to coordinate noise appearance, then noise consistency is improved, but the original noise in videos becomes obscured and manual adjustment is required
Solution Approach 1:
The patent changes the parameters of added noise (amount, spatial distribution, temporal characteristics) to match the statistical properties of original noise in each video. By analyzing noise properties such as variance, autocorrelation, and power spectral density, the system adjusts noise parameters dynamically rather than adding uniform noise, thus preserving original noise characteristics while achieving consistency across videos.
Solution Approach 2:
The patent performs preliminary analysis of noise properties in each video before adding noise. The system extracts noise characteristics from the original videos, calculates target noise parameters, and prepares noise addition strategies in advance. This preliminary action allows the system to add appropriate noise without obscuring original noise, as the addition is tailored to complement rather than overwrite existing noise patterns.
2Manufacturing precision
If noise addition is based on primary subject location to improve sharpness, then subject definition is improved, but manual adjustment of noise amount is still required
Solution Approach 1:
The patent implements self-service by enabling the noise addition system to automatically analyze video content, identify primary subjects, determine appropriate noise amounts, and apply noise without manual intervention. The system uses automated subject detection algorithms and noise property analysis to make decisions about noise addition, eliminating the need for editors to manually adjust noise parameters while maintaining subject sharpness.
Solution Approach 2:
The patent dynamically changes noise parameters based on local video content characteristics. The system adjusts noise amount, spatial distribution, and temporal properties according to the detected primary subject location and video-specific noise properties. This parameter adaptation allows automatic optimization of subject sharpness without requiring manual adjustment, as the system autonomously tailors noise parameters to each video's characteristics.
3Manufacturing precision
If manual adjustment is performed to coordinate noise appearance across videos, then noise consistency is improved, but editing time and complexity increase
Solution Approach 1:
The patent replaces the mechanical manual adjustment process with an automated computational system. Instead of editors manually analyzing and adjusting noise parameters for each video, the system uses automated noise property extraction, statistical analysis, and algorithmic noise addition. This substitution of manual mechanical adjustment with automated computational processing achieves noise coordination while dramatically reducing editing time and complexity.
Solution Approach 2:
The patent enables the editing system to perform noise coordination autonomously without requiring editor intervention. The system automatically analyzes noise properties across multiple videos, determines appropriate noise addition parameters, and applies noise consistently across all videos. This self-service capability eliminates the time-consuming manual adjustment process while maintaining high-quality noise coordination.
Data Source
AI summary
Provided are an apparatus and method that obtain a numerical value for an evaluation value of an appearance of noise in a plurality of videos and that coordinate the appearance of noise based on the evaluation value. In an image processing apparatus that coordinates an appearance of noise among a plurality of videos, noise properties are obtained from the videos, and a noise evaluation value is calculated based on the noise properties. Based on the calculated noise evaluation value, noise to be added to the videos is calculated, and the added noise is then added to the videos.