Media Interaction Analysis for Unaltered Content Recognition
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Solution Overview
Problem
Existing technologies require complex authoring tools or dedicated devices to modify media content for user interactions, failing to allow natural interaction with unaltered media content across diverse devices and platforms.
Innovation Solution
An interaction analysis engine coupled with an interaction object database analyzes media content to identify relevant interaction objects without modifying the media, using media features to select and instantiate interaction instances that enable user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex authoring tools are used to modify media content for user interactions, then interaction capability is improved, but device complexity and ease of manufacture deteriorate
Solution Approach 1:
The patent extracts the interaction analysis functionality from complex authoring tools and places it directly on user devices. The interaction analysis engine is embedded in the media player device itself, allowing the device to autonomously analyze media content and generate interaction points without requiring external authoring tools to pre-modify the content.
Solution Approach 2:
The media player device performs self-service by automatically analyzing media content through its embedded interaction analysis engine. The device extracts media features, queries the interaction object database, and instantiates interaction objects without human intervention or complex authoring tools, enabling natural interaction with unaltered media content.
2Measurement precision
If media content is modified with metadata for interaction services, then interaction precision is improved, but ease of operation and manufacturing precision deteriorate
Solution Approach 1:
Instead of modifying media content with metadata during production (traditional approach), the patent inverts the process by keeping media content unaltered and generating interaction points dynamically during playback. The interaction analysis engine extracts features from the raw media content and queries the interaction object database to create interaction opportunities on-the-fly.
Solution Approach 2:
The system changes the parameter state of media content from 'modified with metadata' to 'unaltered raw content'. The interaction analysis engine processes the media content in its original state, extracting relevant features without requiring any preprocessing or modification, thereby simplifying content production while maintaining interaction precision.
3Reliability
If dedicated devices with interaction services are used, then interaction reliability is improved, but adaptability across diverse devices deteriorates
Solution Approach 1:
The patent implements universality by enabling any media player device to perform interaction analysis through an embedded engine. The system is designed to work across diverse devices (smartphones, tablets, set-top boxes, PCs) without requiring dedicated interaction devices. The interaction object database and analysis engine provide multi-functional support for various interaction types across different platforms.
Solution Approach 2:
The interaction object database is pre-populated with interaction objects that define potential interaction scenarios. This preliminary preparation allows the embedded engine on any device to quickly query and instantiate appropriate interactions during media playback, ensuring reliable interaction performance without requiring dedicated devices or complex runtime processing.
4Productivity
If content is analyzed in real-time without pre-processing, then productivity is improved, but measurement precision of interaction points deteriorates
Solution Approach 1:
The interaction object database is pre-populated with interaction objects that contain predefined interaction scenarios, parameters, and relevancy criteria. This preliminary preparation enables the embedded engine to quickly query and instantiate interactions during real-time playback without sacrificing precision, as the interaction objects are already optimized and validated beforehand.
Solution Approach 2:
The interaction object database acts as an intermediary between the media content and the interaction instances. The embedded engine queries this database using media features as keys, and the database returns pre-defined interaction objects that match the current media state. This intermediary layer ensures both real-time processing speed and high precision by leveraging pre-computed interaction definitions.
Data Source
AI summary
Interaction-based ecosystems are presented. Interaction analysis engine analyze media content to derive a set of media features. The engine can then identify one or more interaction objects (e.g., transactions, searches, game play, etc.) based on the set of media features. Relevant interaction objects can then be instantiated as persistent available or active points of interaction readily accessed by a consumer. The consumer need only capture a digital representation of the content via a user device, a smart phone for example. A second set of media features can be derived from the digital representation and the second set of media features can then be used to find the instantiated interactions.