Visual Content Characterization Using Separate Visual Data Assessment
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Solution Overview
Problem
Existing methods for visual content characterization require direct assessment of visual content, which can be inefficient and resource-intensive, especially when dealing with temporally or spatially separate visual content.
Innovation Solution
A system that characterizes visual content by assessing separate visual content, such as audio or visual indicators, to determine characteristics of other visual content without direct assessment, using a processor and electronic storage to execute machine-readable instructions for visual information, assessment, and characterization components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct assessment of visual content is performed, then characterization accuracy is improved, but processing power and time are increased
Solution Approach 1:
The system performs preliminary assessment of separate visual content (such as thumbnails, preview frames, or metadata images) before assessing the full visual content. This preliminary assessment provides advance information that guides the subsequent characterization process, enabling faster and more accurate analysis of the main content without requiring complete assessment of all visual data.
Solution Approach 2:
The system introduces separate visual content as an intermediary element that mediates between the raw visual content and the characterization process. This separate visual content (thumbnails, previews, or representative frames) serves as a proxy that provides characterization information without requiring direct assessment of the entire visual content, thereby reducing processing time while maintaining accuracy.
2Measurement precision
If direct assessment of visual content is performed, then characterization accuracy is improved, but resource consumption is increased
Solution Approach 1:
The system performs preliminary assessment of separate visual content (such as thumbnails, preview frames, or metadata images) before assessing the full visual content. This preliminary assessment provides advance information that guides the subsequent characterization process, enabling faster and more accurate analysis of the main content without requiring complete assessment of all visual data.
Solution Approach 2:
The system introduces separate visual content as an intermediary element that mediates between the raw visual content and the characterization process. This separate visual content (thumbnails, previews, or representative frames) serves as a proxy that provides characterization information without requiring direct assessment of the entire visual content, thereby reducing processing power while maintaining accuracy.
3Productivity
If separate visual content is used for characterization, then processing efficiency is improved, but information completeness may be reduced
Solution Approach 1:
The system applies local quality by selecting specific portions or aspects of the visual content for separate assessment rather than uniformly assessing all content. By identifying and assessing only the most informative or representative portions (such as key frames, thumbnails, or metadata images), the system maintains processing efficiency while capturing the essential characteristics needed for accurate characterization.
Solution Approach 2:
The system performs preliminary assessment of separate visual content (such as thumbnails, preview frames, or metadata images) before assessing the full visual content. This preliminary assessment provides advance information that guides the subsequent characterization process, enabling faster and more accurate analysis of the main content without requiring complete assessment of all visual data.
Data Source
AI summary
Visual content may be captured by an image capture device. The characteristics of the visual content may be determined based on assessment of separate visual content and without assessment of the visual content. The assessment of the separate visual content may include identification of thing(s) depicted within the separate visual content. The separate visual content may be temporally and/or spatially separate from the visual content.


