Content Signal Modulation With Auxiliary Data Logging
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Solution Overview
Problem
Current methods for modulating content signals to include auxiliary data lack efficiency in detecting and scheduling successful placement within content segments, leading to suboptimal data transmission and user experience.
Innovation Solution
A system that logs detections of test content signals, parses log files to create profile files, and schedules encoding of auxiliary signals based on successful detection data, ensuring optimal placement within content segments using a combination of logging, profiling, and scheduling techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current methods for modulating content signals are used, then auxiliary data can be transmitted, but the detection and scheduling efficiency is poor leading to suboptimal data transmission
Solution Approach 1:
The system performs preliminary actions by logging detections of test content signals before actual modulation, creating profile files that identify suitable segments for auxiliary data insertion. This advance preparation ensures both efficient and reliable data transmission by pre-characterizing the content signal.
Solution Approach 2:
The system uses feedback from detection logs and profile analysis to continuously improve modulation scheduling. Detection results are logged and analyzed to create profiles that guide future modulation decisions, creating a closed-loop system that enhances both efficiency and reliability over time.
2Loss of information
If auxiliary signals are modulated into content signals, then data transmission is achieved, but suitable segment identification and scheduling is inefficient
Solution Approach 1:
The system creates profile files in advance that characterize suitable segments for auxiliary data insertion. This preliminary analysis of content signals stores segment suitability information that can be quickly referenced during scheduling, eliminating the need for time-consuming real-time analysis and ensuring high data transmission quality.
Solution Approach 2:
The system prepares encode files that contain pre-determined modulation schedules based on profile analysis. This beforehand preparation cushions against potential delays or failures during actual modulation by having validated segment selections and scheduling decisions already made.
3Manufacturing precision
If detection logging is performed to create profile files, then segment suitability is identified, but the process complexity increases
Solution Approach 1:
The system segments the content signal into discrete analyzable units and creates separate profile data for each segment. This segmentation allows precise identification of suitable modulation locations while managing complexity through modular processing of individual segments rather than analyzing the entire signal as one unit.
Solution Approach 2:
The system introduces profile files as intermediary data structures between detection logging and modulation scheduling. These profile files serve as a mediator that stores pre-analyzed segment characteristics, reducing the complexity of direct real-time analysis while maintaining high precision in modulation placement decisions.
Data Source
AI summary
A method for modulating a content signal (18) to contain an auxiliary signal, the content signal (18) having content segments, the method comprising logging detections of a test content signal (20) to create one or more log files (44); parsing the one or more log files (44) to create a profile file (46); scheduling the profile file (46) to create an encode file (48); and encoding the content signal (18) with the auxiliary signal according to the encode file (48) and a modulation method.