Multimodal Data Transmission With Acquisition Time Synchronization
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Solution Overview
Problem
In the 6G era, existing unimodal data transmission methods fail to accurately process multimodal data due to the lack of consideration for acquisition time information, leading to inaccurate translation results in smart interaction scenarios.
Innovation Solution
A multimodal data transmission method where terminals obtain and send data of different modalities along with their corresponding acquisition time information to a centralized processing unit, allowing for synchronized processing based on the determined time information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If unimodal data transmission methods are used, then the system complexity is low, but the processing accuracy of multimodal data deteriorates
Solution Approach 1:
The patent segments multimodal data into distinct data packets, each representing a different modality (e.g., audio, video, text). Each data packet is independently processed and tagged with its modality type and acquisition time, allowing the centralized processing unit to handle complex multimodal integration while maintaining relatively simple individual processing streams.
Solution Approach 2:
The patent introduces a temporal dimension by adding acquisition time information to each data packet. This allows the system to process multimodal data in the time domain, enabling accurate synchronization and integration of different modalities without increasing the complexity of spatial or structural processing.
2Measurement precision
If acquisition time information is not considered, then the data transmission is simple, but the translation accuracy of multimodal data deteriorates
Solution Approach 1:
The patent applies preliminary action by embedding acquisition time information into each data packet during the data collection phase. This pre-tagging ensures that temporal information is preserved throughout the transmission and processing pipeline, enabling accurate time-based correlation of multimodal data without requiring complex post-processing.
3Measurement precision
If multiple modalities are processed independently, then the processing speed is fast, but the integration accuracy of multimodal data deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the centralized processing unit receives data packets with embedded time stamps and modality identifiers, processes them according to their temporal and modal characteristics, and generates integrated results that feed back into the system. This allows independent processing of individual modalities to continue at high speed while ensuring accurate integration through time-based synchronization.
Data Source
AI summary
A terminal obtains at least one piece of data, in which each piece of data in the at least one piece of data belongs to a different modality; obtains acquisition time information corresponding to each piece of data; and sends the at least one piece of data and at least one acquisition time information to a centralized processing unit. The centralized processing unit receives at least one piece of data and at least one piece of acquisition time information from at least one terminal, determines data corresponding to each acquisition time information in the at least one acquisition time information from the at least one piece of data, and processes the data corresponding to each acquisition time information.