Multimodal Position Detection in Video Audio Streams
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Solution Overview
Problem
Existing methods for detecting specific positions within data streams, particularly those containing both video and audio data, lack the necessary reliability and accuracy for timely and efficient presentation of additional information, such as advertisements or product links, due to their reliance solely on audio data analysis.
Innovation Solution
A method that extracts both video and audio data streams, creates screenshots and corresponding timestamps, and uses an AI-system trained on both video and audio data to determine specific positions by analyzing whether they belong to a predefined category, combining video-based and audio-based detection for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only audio data analysis is used to detect specific positions, then the system complexity is low, but the detection reliability and accuracy are insufficient
Solution Approach 1:
The patent combines audio data analysis with video data analysis (screenshot creation and AI-based category detection) into a unified detection system. The server integrates multiple data streams and analysis methods to jointly determine specific positions, thereby improving detection reliability while accepting increased system complexity as a necessary trade-off.
2Measurement precision
If only audio data analysis is used, then the processing speed is fast, but the detection accuracy for specific positions is insufficient
Solution Approach 1:
The patent merges audio-based detection with video-based detection (using screenshots and AI category recognition) to achieve more accurate position detection. By cross-referencing both audio and video analysis results, the system identifies specific positions with higher precision, particularly for content transitions and commercial breaks.
3Ease of operation
If additional information is presented without accurate position detection, then the system load is reduced, but user workload increases due to delayed or incorrect information presentation
Solution Approach 1:
The server performs preliminary detection of specific positions using both audio and video analysis before presenting additional information to the user. By accurately identifying positions such as commercial break starts and content transitions in advance, the system ensures that additional information is presented at the correct moment, improving synchronization reliability and user convenience.
Data Source
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AI summary
For improving the process of detecting specific positions within a data stream, wherein the data stream comprises at least one video data stream and at least one audio data stream and for gaining results with increased reliability, it is suggested do perform the steps of: - extracting (104) the video data stream and the audio data stream from the data stream; - creating (110) at least one screenshot out of the video data stream and an associated timestamp; - feeding the screenshot to an Al-system that is trained to detect whether the screenshot belongs to a predefined category; - generating (106) audio data corresponding with the screenshot and automatically analyzing (108) the audio data for detecting whether it belongs to the predefined category; - if both the screenshot and the corresponding audio data belong to the predefined category, deciding (114) that the timestamp that is associated with the current screenshot defines a specific position.