Simulating Live Video Interaction in Recorded Meetings
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Solution Overview
Problem
Video conferencing recordings lack interactivity, preventing users from engaging in real-time conversations or asking questions when viewing pre-recorded meetings, which limits their ability to interact with the content at their convenience.
Innovation Solution
A system that transcribes and indexes recorded meetings, allowing users to input audio queries or comments, which are searched within the transcription, and generates solutions to integrate back into the video, potentially pulling from external data sources if not found, and updates video frames to simulate a live interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video conferencing recordings are provided for later viewing, then users can access meeting content at their convenience, but the recordings lack interactivity and users cannot ask questions or engage in real-time conversations
Solution Approach 1:
The patent introduces an intermediary system that acts as a bridge between the user and the recorded meeting content. This system transcribes the recording into text, processes user questions through NLP, searches the transcription for relevant information, and generates synthetic speaker responses. This intermediary layer enables interactive querying of static recordings without modifying the original recording infrastructure.
Solution Approach 2:
The patent replaces the mechanical requirement for real-time human interaction with an automated information processing system. Instead of requiring a live speaker to answer questions, the system uses transcription, NLP processing, and automated response generation to substitute human mechanical interaction with computational processes.
2Adaptability or versatility
If transcription and indexing of recorded meetings is implemented, then user queries can be searched and answered, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by transcribing and indexing the meeting recording before any user queries are submitted. This pre-processing creates a searchable text representation and structured index of the content, enabling efficient query processing without requiring complex real-time analysis when users submit questions.
Solution Approach 2:
The system performs self-service by automatically transcribing the recording, creating the index, processing user queries, and generating responses without requiring manual intervention. The automated pipeline handles the entire workflow from transcription to response generation, reducing the need for complex manual processing systems.
3Productivity
If automated response generation is implemented, then user questions receive immediate answers, but accuracy may be compromised compared to human responses
Solution Approach 1:
The patent implements feedback by having the NLP system analyze the user's question, search the transcription for relevant passages, and generate responses that are grounded in the actual meeting content. The system continuously refines its response generation based on the quality and relevance of information found in the transcription, ensuring accuracy while maintaining automated speed.
Data Source
AI summary
An embodiment for simulating a live video presentation in a recorded video is provided. The embodiment may include receiving a previously recorded online meeting. The embodiment may also include transcribing and indexing the transcription of the previously recorded online meeting. The embodiment may further include receiving audio content from a user. The embodiment may also include searching for a response to the audio content in the transcription. The embodiment may further include in response to determining the response is found in the transcription, generating a solution for the audio content from the transcription. The embodiment may also include integrating the generated solution into the previously recorded online meeting. The embodiment may further include updating one or more video frames of the previously recorded online meeting based on the generated solution.


