Intelligent Virtual Assistant for Smart TV Video Conferencing
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Solution Overview
Problem
Current interactive communication systems lack seamless integration of video conferencing capabilities with smart TV devices, leading to missed opportunities for enhanced communication experiences in living rooms, and existing solutions are decoupled, limiting direct relationships between broadcasters and viewers for supplemental content.
Innovation Solution
A computer-implemented system and method utilizing an intelligent virtual assistant that processes various inputs (speech, facial, gesture, textual) using AI to generate customizable interactive audio/video content during networked communication sessions, enabling integrated video conferencing and content sharing across multiple devices, including smart TVs, through machine-based learning and natural language processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video conferencing is added to smart TV devices, then communication functionality is improved, but device complexity increases
Solution Approach 1:
The patent combines video conferencing capabilities with smart TV devices by integrating multiple communication channels (broadcast, supplemental content, direct interaction) into a unified system. The set-top box acts as a central hub that merges broadcasting functionality with interactive video conferencing, allowing users to communicate through the TV without requiring separate dedicated conferencing devices.
Solution Approach 2:
The smart TV system is designed to perform multiple functions: traditional broadcasting, supplemental content delivery, and interactive video conferencing. The set-top box and TV interface serve as universal platforms that can handle various communication modes (one-to-many broadcasting, many-to-one feedback, and one-to-one conferencing) within a single device ecosystem.
2Adaptability or versatility
If multiple communication channels are integrated, then interactivity is improved, but system complexity increases
Solution Approach 1:
The communication system is segmented into distinct functional layers: broadcasting channel for one-to-many content delivery, supplemental content channel for additional information, and direct interaction channel for viewer-broadcaster communication. This segmentation allows each channel to operate independently with optimized protocols while being coordinated through the set-top box, managing complexity through functional separation.
Solution Approach 2:
The set-top box serves as an intermediary device that manages multiple communication channels between viewers and broadcasters. It handles the coordination of broadcasting signals, supplemental content delivery, and interactive communications, abstracting the complexity of multi-channel management from end users while enabling rich interactivity through a unified interface.
3Speed
If AI processing is performed locally, then response time is improved, but processing power requirements increase
Solution Approach 1:
The system distributes AI processing across multiple dimensions: local processing at the set-top box for time-critical tasks like speech recognition and basic image analysis, and cloud-based processing for more computationally intensive tasks like deep learning model inference and complex data analysis. This multi-level processing architecture optimizes response time for urgent operations while leveraging cloud power for demanding computations.
Data Source
AI summary
An intelligent virtual assistant is provided for respectively customizable interactive audio/video content to each of a plurality of computing devices during a networked communication session. Input is received from at least one device, and is determined via information provided in or with the input, that the input is at least one of speech input, facial input, gesture input and textual input. The input is processed and machine-based learning occurs using at least some of the processed input. The intelligent virtual assistant is provided for the respectively customizable interactive audio/video content as a function of the machine-based learning process via at least one of the plurality of computing devices.