Video Content Filtering via Image Verification
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Solution Overview
Problem
Existing video content filtering systems often present misleading results, known as 'clickbait,' where video content items do not accurately represent their linked image content items, leading to frustrating user experiences as users must sift through irrelevant content to find legitimate items.
Innovation Solution
A system that verifies the correspondence between video content items and their linked image content items by comparing visual and semantic content, excluding or indicating non-corresponding items to prevent misleading results and enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video content items are retrieved using metadata or other data to identify results, then the quantity of video content items presented to users increases, but the reliability of the results deteriorates as clickbait content items are included that do not accurately represent their linked image content items
Solution Approach 1:
The system performs preliminary verification by comparing image content items with corresponding video content items before presenting results to users. This advance checking prevents clickbait from reaching users while maintaining a large volume of legitimate video content in the results.
Solution Approach 2:
The system uses feedback from the comparison between image and video content to identify and exclude non-corresponding items. The verification process provides feedback on whether video content accurately represents its thumbnail, allowing the system to filter out misleading results while preserving relevant ones.
2Reliability
If video content items are verified by comparing with linked image content items, then the reliability of results improves by excluding clickbait, but the device complexity increases due to additional verification processes
Solution Approach 1:
The system performs self-verification by automatically comparing image content with video content without requiring manual review. The verification process is automated through computational analysis of the image and video data, reducing the need for complex human-in-the-loop systems while maintaining high reliability.
Solution Approach 2:
The patent replaces manual verification processes with automated computational methods. Instead of relying on human reviewers to identify clickbait, the system uses algorithmic comparison of image and video content to automatically detect mismatches, simplifying the overall system architecture while improving scalability.
3Ease of operation
If clickbait content items are excluded from search results, then the user experience improves by eliminating frustrating content consumption, but the productivity of content delivery decreases as fewer video content items are available to users
Solution Approach 1:
The system performs preliminary filtering to remove only the harmful subset of clickbait content while preserving the majority of legitimate video content. This selective exclusion maintains high content delivery volume for valid results while eliminating only the misleading portion, thus preserving productivity alongside improved user experience.
Solution Approach 2:
The system applies visual indicators to distinguish verified video content from unverified or potentially misleading content. By changing the visual appearance (such as highlighting or labeling), users can quickly identify reliable content without manual inspection, maintaining ease of operation while preserving access to a large volume of content through the verification badge system.
Data Source
AI summary
Methods and systems for filtering video content items are described herein. The system identifies a plurality of video content items that are linked to respective image content items. The system determines, for each of the plurality of video content items, whether a video content item corresponds to a respective image content item. In response to the determining, the system causes to be provided information identifying the plurality of video content items excluding video content items that do not correspond to respective image content items.