Media Toning Coefficient Analysis for Audience-Specific Ad Selection
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Solution Overview
Problem
The effectiveness of video advertising is difficult to predict due to increasing diversity and competition, cultural changes, and technological innovation, leading to inefficiencies in production and distribution, resulting in suboptimal campaign results for advertisers.
Innovation Solution
A method and apparatus for determining a toning coefficient for image, audio, and video files, which analyzes the distribution of pixels or samples using characteristic functions to adjust the toning of media files, allowing for optimized selection based on user criteria, such as stimulating or soothing effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video advertising production and distribution are expanded to reach diverse audiences, then advertising coverage and potential impact are improved, but production costs and distribution complexity increase
Solution Approach 1:
The patent applies parameter changes by analyzing and adjusting the toning coefficient of video content to match audience preferences and cultural characteristics. By modifying visual parameters (toning) based on distribution targets, the system optimizes advertising effectiveness across different platforms and audiences without requiring complete redesign of the advertising content.
2Reliability
If multiple video versions are produced for different distribution platforms and audiences, then advertising effectiveness is improved, but production time and costs increase
Solution Approach 1:
The patent implements local quality by applying different toning adjustments to specific regions or aspects of the video content based on the target audience and platform characteristics. Rather than completely redesigning videos, the system selectively modifies local visual properties (toning coefficients) to optimize effectiveness for each distribution context.
Solution Approach 2:
The system changes visual parameters (toning coefficients) of existing video content to adapt it for different audiences and platforms. This allows multiple optimized versions to be created from a single source video through parameter adjustment rather than complete production, significantly improving production efficiency while maintaining effectiveness.
3Ease of manufacture
If traditional video advertising methods are used without optimization, then production process is simple, but campaign results are suboptimal
Solution Approach 1:
The patent implements self-service by enabling automated analysis and optimization of video toning coefficients based on audience data and platform characteristics. The system automatically determines optimal toning parameters without requiring manual intervention in the complex optimization process, maintaining production simplicity while improving campaign results through data-driven adjustments.
Data Source
AI summary
A method for changing an image file based on a toning coefficient includes receiving an image file including an image having a plurality of pixels. Toning characteristic function is determined for each pixel of the received image. Distribution of the plurality of pixels of the received image is analyzed using the toning characteristic function. The toning coefficient of the received image is determined based on the analyzed distribution of the plurality of pixels. A degree of toning of the received image file is changed using a user specified criteria based on the determined toning coefficient.