The Nielsen Company (US), LLC (20240320263). SOURCE CLASSIFICATION USING HDMI AUDIO METADATA simplified abstract
Contents
SOURCE CLASSIFICATION USING HDMI AUDIO METADATA
Organization Name
Inventor(s)
Robert E. Taylor of Newbury VT (US)
SOURCE CLASSIFICATION USING HDMI AUDIO METADATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320263 titled 'SOURCE CLASSIFICATION USING HDMI AUDIO METADATA
Simplified Explanation: The patent application discusses a method for classifying the source of media using HDMI audio metadata. By extracting audio encoding parameters from HDMI metadata, the apparatus can map these values to unique encoding classes and identify the media source based on the mapped information.
- The apparatus extracts audio encoding parameters from HDMI metadata.
- It maps these values to unique encoding classes.
- The method identifies the media source based on the mapped information.
Key Features and Innovation:
- Utilizes HDMI audio metadata for source classification.
- Extracts audio encoding parameters from HDMI metadata.
- Maps extracted values to unique encoding classes.
- Identifies media source based on mapped information.
Potential Applications: This technology can be used in media monitoring, content identification, and copyright protection systems.
Problems Solved:
- Efficient source classification of media content.
- Improved accuracy in identifying media sources.
- Enhances content monitoring and copyright protection.
Benefits:
- Streamlined media source identification process.
- Enhanced accuracy in content classification.
- Improved copyright protection for media content.
Commercial Applications: This technology can be applied in media streaming services, content distribution platforms, and digital rights management systems to ensure accurate source classification and copyright protection.
Prior Art: Readers can explore prior patents related to audio metadata processing, media source identification, and content classification systems for further insights.
Frequently Updated Research: Stay updated on advancements in audio metadata processing, media source identification technologies, and content classification systems for the latest developments in this field.
Questions about Source Classification using HDMI Audio Metadata: 1. How does this technology improve the accuracy of media source identification? 2. What are the potential applications of this method in the entertainment industry?
1. A relevant generic question not answered by the article, with a detailed answer. - How does this technology impact the efficiency of content monitoring and copyright protection systems? - This technology significantly enhances the efficiency of content monitoring and copyright protection systems by accurately identifying the source of media content through HDMI audio metadata analysis. By mapping audio encoding parameters to unique encoding classes, the method streamlines the process of identifying media sources, thereby improving the overall accuracy and effectiveness of content monitoring and copyright protection efforts.
2. Another relevant generic question, with a detailed answer. - What are the key features that set this technology apart from traditional methods of media source classification? - This technology stands out from traditional methods of media source classification by leveraging HDMI audio metadata to extract audio encoding parameters and map them to unique encoding classes. By utilizing this innovative approach, the apparatus can accurately identify media sources based on the mapped information, offering a more efficient and precise method for classifying the source of media content.
Original Abstract Submitted
methods, apparatus, systems and articles of manufacture are disclosed for source classification using hdmi audio metadata. an example apparatus includes a metadata extractor to extract values of audio encoding parameters from hdmi metadata obtained from a monitored hdmi port of a media device, the hdmi metadata corresponding to media being output from the monitored hdmi port; map the extracted values of the audio encoding parameters to a first unique encoding class (uec) in a set of defined uecs, different ones of the set of defined uecs corresponding to different combinations of possible values of the audio encoding parameters capable of being included in the hdmi metadata; and identify a media source corresponding to the media output from the hdmi port based on one or more possible media sources mapped to the first uec.
