Interactive Video Product Overlay System
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Solution Overview
Problem
Current website shopping and home shopping networks lack user interactivity, as they fail to display products in context and require separate mechanisms for ordering, limiting the immersive and contextual experience for consumers.
Innovation Solution
A system and method for generating and providing on-demand interactive content using a content server that processes video content to identify products within scenes, overlays product details, and allows user interaction, enabling consumers to purchase products directly during video playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If home shopping networks display products with knowledgeable spokesperson discussion, then product information is provided, but the discussion is unnatural and focuses specifically on sales rather than contextual usage
Solution Approach 1:
The system segments the video content into distinct scenes and identifies individual objects within each scene. By processing video content frame-by-frame or scene-by-scene, the system can selectively overlay product information only when relevant objects are detected, rather than requiring continuous sales-focused commentary. This allows the video to maintain its natural contextual flow while providing product information on-demand.
Solution Approach 2:
The system introduces an intermediary layer between the video content and the user - an automated object recognition and overlay system. This intermediary processes the video content, identifies objects, and automatically generates product information overlays without requiring a spokesperson to continuously discuss products. The intermediary enables natural video content to coexist with informative product overlays.
2Loss of information
If website shopping displays static product images, then product details are shown, but user interactivity is limited and products are not displayed in contextual usage environments
Solution Approach 1:
The system transforms static product images into dynamic video content where products are shown in contextual usage environments. By processing video content and detecting objects in motion within scenes, the system provides both contextual demonstration and product details. The overlay system dynamically adapts to show product information based on what is currently visible in the video, creating an interactive experience that combines contextual usage with detailed product information.
Solution Approach 2:
The system adds a new dimension to product display by overlaying product information layers on top of video content. This creates a multi-layered display where the base layer shows products in contextual usage environments, and the overlay layer provides detailed product information, pricing, and purchase options. This dimensional addition enables both contextual demonstration and comprehensive product details simultaneously.
3Ease of operation
If home shopping networks require separate mechanisms for ordering products, then purchase functionality is provided, but the ordering process is disconnected from the viewing experience
Solution Approach 1:
The system merges the viewing experience and ordering process into a single integrated interface. By overlaying product information and purchase options directly on the video content, the system eliminates the need for separate ordering mechanisms. Users can discover products in their contextual usage environment and immediately purchase them through the same interface, combining information consumption and transaction in one seamless experience.
Solution Approach 2:
The system performs preliminary actions by pre-processing video content to identify objects and prepare product information overlays before user interaction. This allows product information and purchase options to be readily available when users view the content, eliminating delays associated with separate ordering processes. The system is prepared in advance to provide both information and purchasing capability instantly.
4Loss of information
If video content is processed to automatically identify objects and generate overlays, then product information is integrated with video playback, but system complexity increases
Solution Approach 1:
The system employs self-service mechanisms through automated object recognition and identification algorithms that process video content without requiring manual annotation or configuration. The system automatically detects objects in video frames, identifies them against product databases, and generates appropriate overlays. This self-service approach reduces the need for complex manual processing systems while achieving comprehensive product information integration.
Data Source
AI summary
Methods and the systems for providing an interactive, program based product introduction experience are described. In one example, video content may be captured, enriched with product data, and provided on-demand to interactive user devices. Users viewing the content may be presented with supplemental information or resources allowing those users to obtain more information about objects appearing in the video, or purchase products that may be a sociopathic with those objects. The objects appearing in the video may be passively up hearing, rather than explicitly introduced or offered for sale as part of the original video content. However, the supplemental information allows such users to discover and/or purchase new products through interactivity with the video content.