Interactive Card Overlay for Video Ad Matching
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Solution Overview
Problem
Current technologies face challenges in seamlessly integrating advertisements with video content across diverse platforms and venues, often disrupting the user experience and requiring significant time and effort for matching ads with relevant content, while also struggling to efficiently deliver ads across multiple delivery channels.
Innovation Solution
A method involving a client device that generates a signal sample from audio or video output, identifies relevant information, and displays interactive card-like data objects (KUBE-iT cards) on a user interface, allowing users to interact with and manage advertisements in a way that enhances user experience and convenience, using a system that includes client devices and servers for data processing and user interface management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisements are presented during corresponding video content portions, then user interest in advertisements is improved, but user experience is disrupted
Solution Approach 1:
The system segments the advertisement delivery process by separating ad content from video content, using distinct data objects for each. Advertisements are matched to specific video portions through temporal correlation rather than direct integration, allowing independent processing and presentation of ad and content streams.
Solution Approach 2:
The patent introduces an intermediary matching system that correlates advertisement data objects with video content data objects based on temporal information. This intermediary layer matches ads to relevant video portions without directly embedding ads into the video stream, thus maintaining user experience while delivering targeted advertisements.
2Object-affected harmful factors
If advertisements are separated from corresponding video content portions, then user experience is improved, but user interest in advertisement is reduced
Solution Approach 1:
The system uses temporal correlation data to provide feedback on which video portions are most relevant for advertisement placement. By analyzing viewing patterns and content characteristics, the system optimizes ad delivery timing and targeting to maintain user interest while preserving viewing experience.
Solution Approach 2:
The patent changes the parameter of ad delivery from synchronous integration to asynchronous correlation based on temporal information. Advertisements are delivered with timing and targeting parameters optimized for user engagement, rather than being fixed to specific video positions, allowing flexible adaptation to user preferences.
3Reliability
If a single entity manually matches advertisements to video content, then ad relevance is improved, but time and effort required increases significantly
Solution Approach 1:
The system enables automatic self-matching of advertisements to video content through computational algorithms that process temporal correlation data. The matching process serves itself by using structured data objects and automated correlation logic, eliminating the need for manual intervention while maintaining high ad relevance.
Solution Approach 2:
The patent replaces the mechanical manual process of ad matching with an automated computational system. Data objects containing temporal information are processed algorithmically to correlate ads with video portions, substituting human effort with automated information processing mechanisms.
4Adaptability or versatility
If advertisement delivery is integrated across multiple platforms and channels, then advertising reach is improved, but system complexity increases
Solution Approach 1:
The system employs universal data object structures that can represent both video content and advertisement content in a platform-agnostic format. These standardized data objects with temporal correlation information can be processed across different delivery platforms and channels, enabling multi-platform advertising reach without requiring platform-specific implementations.
Data Source
AI summary
A distributed application is executed by a client device, sampling output by a player device that is playing audio-video content, and obtains information (e.g., advertising) relating to an object that is imaged or referenced in a portion of the playing content. The client device outputs the information on the client device while the content is playing on the player device, and optionally receives user input responsive to the information. The user of the client device receives the advertising or other information without any interruption of the content playing on the player device. Associating and providing user interface objects (information “cards”) in connection with limited portions of video content enables more user-friendly, less distracting advertising in connection with video content.