Media Content Processing for Creative Process Attribution
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Solution Overview
Problem
Existing technologies face challenges in accurately capturing and consolidating the rich and complex creative processes involved in media content creation, especially when multiple sources are involved.
Innovation Solution
A method and system for processing media content that analyzes various media characteristics to extract data elements associated with the creation of the media content, and outputs an arrangement of these data elements to provide a comprehensive understanding of the media content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple data sources are combined to capture media content creation information, then the comprehensiveness of the creative process understanding is improved, but the difficulty of accurately consolidating and attributing data from different sources increases
Solution Approach 1:
The patent segments the complex data consolidation task into distinct functional modules: a data collection module that gathers information from multiple sources, a data processing module that cleans and standardizes the data, and a data storage module that organizes the processed information. This segmentation allows each module to handle specific aspects of the problem independently, reducing overall system complexity while maintaining comprehensive information capture.
Solution Approach 2:
The patent introduces intermediary components including data standardization layers that mediate between diverse data sources and the core processing system, and attribution engines that act as intermediaries between raw data and final creative process representations. These intermediaries translate and harmonize data from different sources into a unified format, making consolidation manageable without losing information completeness.
2Measurement precision
If detailed media characteristics are analyzed to extract comprehensive data elements, then the accuracy of media content attribution is improved, but the processing time and computational resources required increase
Solution Approach 1:
The patent implements preliminary data preprocessing and validation steps before main processing begins. Data from multiple sources is cleaned, standardized, and validated in advance, with preliminary attribution tags applied. This preliminary action reduces the computational burden during main processing, maintaining high attribution accuracy while reducing overall processing time.
Solution Approach 2:
The patent employs a multi-pass processing approach where not all data elements are processed with the same level of detail in every case. Common or low-impact data elements receive streamlined processing, while critical or ambiguous elements receive exhaustive analysis. This selective processing maintains accuracy for important attributes while reducing time consumption for less critical data.
Data Source
AI summary
Media processing systems and techniques are described. In some examples, a media processing system analyzes media content to identify a plurality of media characteristics of the media content. The media processing system analyzes one of the plurality of media characteristics to extract a plurality of data elements. The plurality of data elements is associated with a creation of the media content. The media processing system outputs an arrangement of at least a subset of the plurality of data elements.