Automated Content Upload Control via Logo Detection
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Solution Overview
Problem
Copyright infringement occurs when copyrighted content is uploaded to websites without authorization, as existing technologies lack effective methods to identify and enforce ownership and apply appropriate business rules.
Innovation Solution
A system and method that analyzes content for visual cues such as logos or human faces using automated recognition techniques, compares detected images with reference images, and applies business rules to control unauthorized uploads, allowing authorized users to upload while charging unauthorized users a fee for access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If websites build costly safeguards into their infrastructure to prevent copyright infringement, then copyright protection is improved, but device complexity and operational cost increase
Solution Approach 1:
The system performs preliminary content analysis by detecting logos and identifying content owners before the upload process completes. This advance identification allows the system to prevent unauthorized uploads before they are fully processed, reducing the need for complex post-upload safeguards and infrastructure safeguards.
Solution Approach 2:
Content is automatically analyzed for logo detection and content owner identification without requiring manual review or complex human intervention systems. The automated analysis engine processes uploads independently, applying business rules and making authorization decisions without costly human oversight infrastructure.
2Productivity
If automated content analysis is implemented to identify content owners, then copyright enforcement efficiency is improved, but measurement precision requirements increase
Solution Approach 1:
The system analyzes only specific portions of content (logo regions) rather than entire content files, and uses predefined threshold criteria for logo detection. This partial analysis approach maintains high efficiency while achieving sufficient precision for copyright identification without requiring exhaustive analysis of all content.
Solution Approach 2:
The system adjusts detection parameters and threshold criteria based on different content types and logo characteristics. By dynamically modifying analysis parameters, the system maintains high detection accuracy across diverse content while preserving processing efficiency through optimized parameter sets for different scenarios.
3Reliability
If business rules are applied to control unauthorized uploads, then copyright protection is improved, but loss of information increases due to potential false positives
Solution Approach 1:
The system incorporates feedback mechanisms where content upload decisions are reviewed and adjusted based on detection results and business rule outcomes. False positives can be identified and corrected through feedback loops that allow authorized content to be whitelisted or detection parameters to be refined, reducing information loss while maintaining protection.
Solution Approach 2:
The system implements cushioning measures by allowing authorized users to pre-register their content and logos in advance. This beforehand registration creates a buffer that prevents false positives, as pre-registered content is automatically recognized and allowed, cushioning against the risk of legitimate content being blocked by overly strict business rules.
Data Source
AI summary
A system and method for protecting copyright in content distributed online, in combination with specified business rules. A portion of content presented for upload on a network is analyzed to detect an image associated with a content owner; the image is compared with reference images to identify the content owner; and business rules are applied to control unauthorized uploading of the content. The identifier may be a logo included in the content as a digital graphic, or a non-visual marker. Analysis is advantageously performed on a sample of video frames or a segment of preselected length. If the content is found to be copyrighted, and the attempted upload is unauthorized, uploading may or may not be permitted, and the user may or may not be charged a fee for subsequent access to the content.