Action Score Calculation Using Context Variates
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Solution Overview
Problem
Existing technologies for extracting exciting parts of content, such as videos, rely on audience voice, making it difficult to determine exciting parts when there is no audience or when voices are triggered by factors other than the action itself, especially in sports content.
Innovation Solution
An information processing device and method that acquires variates related to the content and context of actions, calculating a score to evaluate the action based on these variates, allowing for the determination of exciting parts without relying on audience voice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If audience voice is used to determine exciting parts, then the extraction of exciting parts can be automated, but the accuracy deteriorates when there is no audience or when voices are triggered by factors other than the action itself
Solution Approach 1:
The patent introduces an intermediary evaluation mechanism that uses multiple variates (action content variates and context variates) as mediators between the automated processing and the determination of exciting parts. Instead of directly using audience voice, the system processes action data through variate acquisition and score calculation, which mediates the relationship between raw data and final extraction decisions, thereby improving accuracy while maintaining automation.
Solution Approach 2:
The patent replaces the mechanical/acoustic system of audience voice detection with an information processing system based on variate acquisition and score calculation. This substitution transitions from detecting physical sound waves to processing structured data variates, eliminating the limitations of voice-based methods while preserving automation.
2Reliability
If audience voice is used to evaluate action, then the system can work with available data, but the reliability deteriorates in cases of no audience or actions without audience reaction
Solution Approach 1:
The patent enables the action evaluation system to be self-sufficient by using action content variates and context variates that are inherently present in the video data itself. The system serves itself by extracting evaluation information from the action and its context without requiring external audience voice data, ensuring reliable operation in all conditions.
Solution Approach 2:
The patent performs preliminary acquisition of action content variates and context variates before evaluation is needed. By pre-processing and storing these variates, the system ensures that evaluation data is available even when audience voice is absent, preventing information loss and maintaining reliability.
3Device complexity
If only action content is considered for evaluation, then the evaluation process is simplified, but the precision deteriorates because context information is ignored
Solution Approach 1:
The patent segments the evaluation process into distinct components: action content variate acquisition, context variate acquisition, and score calculation. This segmentation allows the system to handle multiple types of information (action and context) in an organized manner, improving precision while keeping the overall process manageable and systematic.
Data Source
AI summary
Provided is an information processing device that includes a variate acquisition unit that acquires a first variate related to a content of action, and a second variate related to context in which the action is taken and a score calculation unit that calculates a score for evaluating the action on a basis of the first variate and the second variate.