Automated Logo Detection in User Videos
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Solution Overview
Problem
Current video hosting services lack an effective mechanism for identifying and rewarding user-submitted digital product placement videos, as they cannot verify the presence of advertiser logos or quantify their appearances within videos, leading to a lack of incentive for users to submit such content and a challenge for advertisers to determine relevant videos.
Innovation Solution
A video hosting service that generates logo fingerprints from advertiser-provided images and compares them to video frames to track the number, duration, and popularity of logo appearances, providing statistics to advertisers to select and reward meritorious videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video hosting services allow users to submit videos with keyword labels, then user creativity and video volume increase, but the ability to verify product placement accuracy and quantify logo appearances is lost
Solution Approach 1:
The patent replaces manual keyword labeling with automated image recognition technology. The system uses computer vision algorithms to automatically detect, identify, and track logo appearances in user-submitted videos, transforming the mechanical process of manual verification into an automated optical recognition system. This enables precise measurement of logo presence without reducing video submission volume.
2Reliability
If advertisers manually review user-submitted videos to identify product placement, then verification accuracy improves, but the time and resources required increase significantly
Solution Approach 1:
The system performs preliminary automated analysis of videos before advertisers need to review them. The image recognition technology pre-identifies videos containing advertiser logos, pre-quantifies logo appearances, and pre-generates verification reports. This preliminary processing filters out irrelevant videos and prepares detailed analysis results in advance, so advertisers only need to review pre-validated candidates rather than manually examining every user-submitted video.
Solution Approach 2:
The system creates digital copies and metadata representations of video content, including extracted logo images, timestamped appearance records, and statistical summaries. These digital copies serve as verification artifacts that advertisers can review without watching the entire original video, significantly reducing review time while maintaining verification reliability.
3Device complexity
If no automated logo detection system is implemented, then system complexity remains low, but the capability to provide actionable insights to advertisers is severely limited
Solution Approach 1:
The patent introduces an intermediary image recognition system between video uploads and advertiser access. This intermediary layer automatically processes videos to extract logo detection data, appearance statistics, and verification information. It acts as a mediator that transforms raw video content into structured, actionable insights without requiring complex direct integration between advertisers and video content, thereby managing complexity while maximizing information delivery.
Data Source
AI summary
A video hosting service automatically identifies, in a video database, a set of videos associated with an advertiser, and presents the identified videos to the advertiser for consideration. The videos may be selected based on analysis of their video content for images of logos associated with the advertisers. The video hosting service may then receive from the advertisers a listing of which of the presented videos should be given an award.