Broadcast Systems Characterised By Watermarks TRIZ Cases

Masked code frequencies embed inaudible identifiers in audio, enabling reliable cross-platform stream tracking and audience measurement.

Selective hashing based on watermark coverage cuts reference storage and computation while preserving accurate media exposure crediting.

Watermark timing and category cues narrow signature matching windows, improving short-ad detection while cutting comparison load.

A site meter detects both media and people-monitoring watermarks from acoustic signals, cutting separate meter complexity and cost.

Correlating encrypted network traffic with device-side audio and video signatures enables accurate streaming media identification across devices.

A shared audio watermarking approach lets site meters identify both media exposure and mobile-linked audience presence with less system complexity.

Frequency masking embeds inaudible codes in media audio, balancing reliable consumption tracking with minimal audible distortion.

Frequency masking and error correction embed inaudible codes while improving watermark detection accuracy in noisy audio.

A watermark detection system identifies isolated watermarks to pinpoint media transmission anomalies.

A media tag validation system compares extracted identifiers with embedded watermarks to verify content exposure.

Content-aware watermarks embed descriptive keywords into media tracks, resolving cross-platform tracking variability and improving measurement precision.

A media monitoring system correlates public IP addresses with device-specific identifiers to track content exposure accurately.

Adaptive sensor selection optimizes media watermark recognition accuracy across diverse speaker configurations.

Encoding media with imperceptible frequency codes allows monitoring devices to detect audience exposure without updating encoder hardware.

A timestamp supplementer classifies watermarks by confidence and adjusts low-confidence data using high-confidence references.

A metering device uses two microphones to generate weighted coefficients and compare audio signals for source identification.

Encoding watermark data in audio signals delivers accessible captioning and multilingual messaging without degrading sound quality.

Universal CDM formats extend terrestrial broadcasting capabilities to cable, satellite, and broadband networks via electronic watermarks.

A wireless metering system embeds watermarks in audio signals to collect user behavior data from connected devices.

Replace audio watermark detection with video watermark extraction from chroma key images to measure media exposure in noisy environments.

A spillover manager compares expected and actual sound pressure levels to identify media exposure.