Media-Triggered Virtual Repository for Temporal Item Matching
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Solution Overview
Problem
Consumers struggle to instantly identify and purchase items shown on television or video without the need for extensive searching, and existing systems fail to monetize these opportunities for brands and content owners in real-time, while consumers lack convenient access to information about celebrity appearances and products.
Innovation Solution
A system that generates triggers from media files to identify targets, processes these triggers to retrieve item records from a virtual repository, and provides immediate responses, including purchasing links and interactive information, using temporal data recognition to ensure accurate matching of items shown in media content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If QR codes are used to identify items in TV content, then consumers can access item information, but the QR code is gone by the time the viewer realizes they are interested in the offer
Solution Approach 1:
The system performs preliminary actions by embedding machine-readable codes (watermarks, fingerprints, or trackable identifiers) into the media content during production or distribution. These codes are pre-positioned throughout the content so that when a consumer views an item and triggers recognition, the identifying information is already available in the content itself, eliminating the need for external QR codes that may no longer be accessible.
Solution Approach 2:
The patent introduces an intermediary matching engine that acts as a mediator between the media content and the consumer's device. This matching engine receives triggered data from the consumer's device, matches it against a database of media content, and retrieves the corresponding item information. This intermediary system ensures that even if the original QR code or external link is unavailable, the item information can be recovered through the matching engine's database lookup.
2Adaptability or versatility
If Google lens is used to search for similar items, then consumers can find matching or similar items, but it doesn't monetize for TV networks, celebrities, production companies, or distribution companies
Solution Approach 1:
The patent implements a multi-functional system that simultaneously provides consumer services (item identification and search) and monetization capabilities. The matching engine not only helps consumers find items but also generates revenue by providing sponsored product placements, affiliate marketing links, and direct sales opportunities. The system serves multiple stakeholders including consumers, TV networks, celebrities, production companies, and distribution companies within a single integrated platform.
Solution Approach 2:
The system incorporates feedback loops where consumer interactions with identified items are tracked and fed back to the matching engine and content owners. This feedback enables dynamic optimization of product placements, sponsored content delivery, and monetization strategies. The system learns from consumer behavior patterns to improve matching accuracy and maximize revenue opportunities while maintaining consumer utility.
3Quantity of substance
If sponsors pay to have brands highlighted in scenes, then brand exposure is achieved, but the exposure is limited and often considered tacky with products appearing briefly in a few scenes
Solution Approach 1:
The patent replaces the mechanical system of physical product placement (actually showing products in scenes) with a digital information system. Instead of relying on brief visual appearances of products in scenes, the system uses machine-readable codes embedded in the content that provide comprehensive brand and product information on-demand. This substitution allows unlimited brand exposure through information provision rather than being constrained by the duration and frequency of visual product appearances.
Data Source
AI summary
A computer-implemented method of matching exact item records from a media file (audio or video or photograph) from at least one of various triggers associated with temporal data recognition during a broadcast, program, event, or streaming. The triggered recognized media is associated with an item record of one or more virtual repositories of one or more users. A response to a user may include a link to one or more item records associated with an online commerce site, a calendared object associated with an event, a notification, or interactive gaming.