18183867. PREDICTION USING A COMPRESSION NETWORK simplified abstract (QUALCOMM Incorporated)
Contents
- 1 PREDICTION USING A COMPRESSION NETWORK
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PREDICTION USING A COMPRESSION NETWORK - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Motion Prediction and Data Compression
- 1.13 Original Abstract Submitted
PREDICTION USING A COMPRESSION NETWORK
Organization Name
Inventor(s)
Thomas Alexander Ryder of San Diego CA (US)
Muhammed Zeyd Coban of Carlsbad CA (US)
Marta Karczewicz of San Diego CA (US)
PREDICTION USING A COMPRESSION NETWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 18183867 titled 'PREDICTION USING A COMPRESSION NETWORK
Simplified Explanation
The patent application describes a device with processors that can predict motion values and use a compression network to process encoded data.
Key Features and Innovation
- Device with processors for obtaining encoded data and motion values.
- Conditional input based on predicted motion values.
- Compression network used to process data and generate second predicted motion values.
Potential Applications
This technology could be used in:
- Video compression systems.
- Virtual reality applications.
- Motion tracking devices.
Problems Solved
- Efficient processing of motion data.
- Improved prediction accuracy.
- Enhanced data compression.
Benefits
- Faster data processing.
- More accurate motion prediction.
- Reduced data storage requirements.
Commercial Applications
- Video streaming services.
- Gaming industry for virtual reality applications.
- Surveillance systems for motion tracking.
Prior Art
Researchers can explore prior patents related to motion prediction and data compression technologies.
Frequently Updated Research
Stay informed about advancements in motion prediction algorithms and data compression techniques.
Questions about Motion Prediction and Data Compression
1. How does the device predict motion values accurately? 2. What are the potential challenges in implementing this technology in real-time applications?
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Original Abstract Submitted
A device includes one or more processors configured to obtain encoded data associated with one or more motion values. The one or more processors are also configured to obtain conditional input of a compression network, wherein the conditional input is based on one or more first predicted motion values. The one or more processors are further configured to process, using the compression network, the encoded data and the conditional input to generate one or more second predicted motion values.
