Action Object Analysis in Audio Visual Media Content
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Solution Overview
Problem
Existing technologies lack an efficient method to analyze and evaluate data sets of action objects in audio and/or visual media content, which hinders the measurement of data quality and the economic value of such content.
Innovation Solution
A method that reads and analyzes a data set of parameters for action objects in audio and/or visual media content, verifying the presence of parameter values and calculating results based on their significance, thereby measuring the quality and economic value of the content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If no systematic analysis method is applied to action objects in media content, then the process remains simple and quick, but the measurement precision of data quality and economic value cannot be achieved
Solution Approach 1:
The analysis system segments the evaluation process into distinct functional modules: an analysis unit that extracts action objects and their parameters from media content, a verification unit that checks parameter completeness against predefined criteria, and a calculation unit that computes quality scores and economic values. This modular segmentation enables precise measurement while managing system complexity through organized functional decomposition.
Solution Approach 2:
The system transforms unstructured media content into structured data by identifying and extracting specific parameters (e.g., action type, object properties, temporal characteristics) associated with action objects. By converting qualitative content features into quantifiable parameters with defined data types and validation rules, the system achieves measurement precision through parameter standardization and systematic transformation of raw data into evaluable metrics.
2Reliability
If comprehensive parameter verification is performed for all action objects, then the reliability of quality assessment improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-defining parameter schemas, data type specifications, and validation rules for each action object category before actual media content analysis. This preparatory configuration enables the verification unit to quickly check parameter completeness and validity against established criteria, ensuring reliable quality assessment without requiring complex real-time computations during the analysis phase.
3Manufacturing precision
If detailed parameter analysis is conducted for each action object, then the manufacturing precision of data evaluation improves, but the productivity of content processing decreases
Solution Approach 1:
The system implements a universal parameter verification framework that handles multiple action object types (e.g., visual objects, auditory objects, interactive elements) through a common evaluation architecture. The analysis unit, verification unit, and calculation unit operate as multi-functional components that can process diverse media content formats and action object categories using standardized procedures, enabling precise data evaluation while maintaining processing efficiency through reusable verification logic and consistent parameter handling across different content types.
Data Source
AI summary
The aim of the invention is to analyze and evaluate a data set of action objects which arise in audio and/or visual media contents. The action objects are visual and/or audible objects or elements in an audio and/or visual media content which can be perceived by a viewer and/or listener and are not physical characteristics of the digital data of a video file or an audio file. Another aim of the invention is to analyze and evaluate the action objects described in the data set by means of parameters and parameter values according to the significance of the parameters and parameter values and the quality of the data set with respect to the action objects and to make the same measurable.