Participant Importance Word Cloud in Video Sessions
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Solution Overview
Problem
In multi-device video communication sessions, there is a need to represent the assessments of participant importance effectively, as existing methods lack a systematic way to weight and visualize the contributions of participants.
Innovation Solution
A method and system that processes recorded content to detect vocal expressions, generates text elements, and creates a word cloud based on these elements, incorporating participant ratings as a weighting factor to reflect the importance of participants, thereby visualizing the session content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If participant ratings are incorporated into word cloud generation, then the representation of participant importance is improved, but the system complexity increases
Solution Approach 1:
The system segments the word cloud generation process by creating separate processing streams: one for detecting vocal expressions and generating text elements, and another for processing participant ratings. These segmented processes are then integrated through a weighting mechanism that combines text element frequency with participant importance ratings, resolving the contradiction by organizing complexity into manageable segments while achieving precise importance assessment.
Solution Approach 2:
The patent introduces an intermediary weighting mechanism that mediates between the raw text elements from vocal expressions and the final word cloud representation. This intermediary layer processes both the frequency of text elements and the participant ratings, combining them through a weighting algorithm that produces a nuanced representation of participant importance without requiring direct complex interaction between all system components.
2Measurement precision
If vocal expression detection is performed on recorded content, then the accuracy of content analysis is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary action by detecting vocal expressions and generating text elements from recorded content before the word cloud generation process. This preliminary processing organizes the raw audio data into structured text elements that can be more efficiently weighted and displayed, reducing the computational burden during the final word cloud generation phase while maintaining high analysis accuracy.
Solution Approach 2:
The patent applies partial action by selectively processing only the vocal expressions that meet certain criteria for inclusion in the word cloud. Rather than analyzing every single vocal expression with equal depth, the system identifies and processes the most significant expressions based on their relevance to participant importance, achieving accurate content analysis while reducing overall processing time through selective attention to key elements.
Data Source
AI summary
A method of multi-device video communication. A server receives recorded content from a multi-device video communication session and processes the recorded content to detect vocal expressions from a plurality of participants. The server generates a plurality of text elements each corresponding to one or more of the vocal expressions. The server receives at least one rating for at least one participant of the plurality of participants and generates a word cloud based on the plurality of text elements and at least in part on the at least one rating for the at least one participant.