In-Video Product Placement and Purchase via AR Analytics
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Solution Overview
Problem
Current video streaming platforms face inefficiencies in delivering targeted advertisements and facilitating product purchases, as existing methods disrupt the video stream, lack object recognition, and require users to navigate multiple web pages for purchases, leading to increased processing costs and slowed internet performance.
Innovation Solution
A system utilizing video analytics and user-behavioral analytics to detect objects in videos, overlay augmented reality advertisements, and enable in-video product purchases by recognizing objects, tagging pixels, and using AI to match viewer interests with relevant ads, allowing seamless product purchasing within the video platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional advertisement methods are used (pre-roll, post-roll, or interrupting video streams), then advertisers can deliver messages to viewers, but the video viewing experience is disrupted and user convenience deteriorates
Solution Approach 1:
The system performs preliminary actions by analyzing video content and pre-positioning advertisement elements within the video stream before playback. Video analytics identify objects and scenes, and advertisements are embedded at optimal moments without interrupting the viewing experience, allowing both effective ad delivery and seamless video consumption.
Solution Approach 2:
The patent introduces an intermediary system consisting of video analytics components, object recognition algorithms, and ad matching engines that mediate between the advertisement content and the video stream. This intermediary layer intelligently integrates advertisements into the video without direct disruption, using pixel tagging and scene analysis to place ads contextually appropriate to the content being viewed.
2Productivity
If users are redirected to external websites for product purchases, then vendors can process transactions, but processing time increases and user convenience decreases
Solution Approach 1:
The system merges the transaction processing capability directly into the video playback interface. By embedding purchase buttons and product information overlays within the video player itself, users can complete transactions without leaving the video environment. This combines the functions of video viewing, product information display, and transaction processing into a single integrated interface.
Solution Approach 2:
The video playback interface is enhanced with multi-functionality, serving not only as a video display but also as an advertisement delivery system, product information portal, and transaction processing platform. The pixel-tagged video frames enable the same interface to perform multiple functions simultaneously, eliminating the need for separate external website navigation for purchases.
3Measurement precision
If video analytics and ad matching systems are implemented, then advertisement targeting precision improves, but system complexity and processing requirements increase
Solution Approach 1:
The system segments the video stream into analyzable components such as individual frames, objects, and scenes. Video analytics processes are divided into discrete tasks: object detection, pixel tagging, scene classification, and ad matching. This segmentation allows complex analysis to be performed in manageable stages, improving targeting precision while organizing system complexity into modular, manageable components.
4Adaptability or versatility
If multiple external web pages are required for product information and purchase, then vendors can maintain separate marketing channels, but internet channel load increases and overall system performance slows
Solution Approach 1:
The system merges multiple marketing functions (product information display, advertisement delivery, transaction processing) into the single video playback interface. By embedding purchase buttons and product details directly in the video frames, the system eliminates the need for users to navigate to external websites, thereby reducing internet channel load while maintaining versatile marketing capabilities within the unified video platform.
Data Source
AI summary
Techniques are provided by which the digital delivery of a viewer-requested video along with the best chosen advertisement for the viewer is improved. These techniques may be particularly suited for the short video industry. An innovative video analytics mechanism and user-behavioral analytics mechanism are provided, with which the best match of an exact product on the video for the particular viewer is advertised on the video, while the viewer is viewing the video. Further, techniques are provided that enable the viewer to purchase the product while still in the video, not having to leave the video or the site to complete the purchase.