18542526. SEMANTIC COMPRESSION FOR COMPUTE OFFLOADING simplified abstract (Apple Inc.)
Contents
- 1 SEMANTIC COMPRESSION FOR COMPUTE OFFLOADING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SEMANTIC COMPRESSION FOR COMPUTE OFFLOADING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SEMANTIC COMPRESSION FOR COMPUTE OFFLOADING
Organization Name
Inventor(s)
Christian Drewes of Germering (DE)
Matthias Sauer of San Jose CA (US)
Bernd Wurth of Landsberg am Lech (DE)
Max Dmitrichenko of Munich (DE)
SEMANTIC COMPRESSION FOR COMPUTE OFFLOADING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18542526 titled 'SEMANTIC COMPRESSION FOR COMPUTE OFFLOADING
Simplified Explanation
The patent application describes methods and systems for semantic encoding by a user equipment (UE) to determine expected power consumption for encoding video data with semantic features, representing the meaning of information in video frames. The UE encodes video frames using a selected semantic representation based on the expected power consumption and transmits the encoded video data.
- Semantic encoding by user equipment (UE) for video data with semantic features
- Determining expected power consumption for encoding based on semantic features
- Encoding video frames using selected semantic representation
- Transmitting encoded video data with semantic representation
Potential Applications
This technology could be applied in video streaming services, surveillance systems, and video conferencing platforms to optimize power consumption while maintaining video quality.
Problems Solved
This technology solves the problem of inefficient power consumption during video encoding, ensuring better resource management and potentially extending battery life for mobile devices.
Benefits
The benefits of this technology include improved power efficiency, enhanced video encoding performance, and potential cost savings for users by reducing power consumption during video transmission.
Potential Commercial Applications
Optimizing power consumption in video encoding can be valuable for mobile device manufacturers, video streaming platforms, and surveillance system providers looking to improve energy efficiency in their products and services.
Possible Prior Art
One possible prior art in this field is a patent for a system that dynamically adjusts video encoding parameters based on network conditions to optimize video quality and bandwidth usage.
Original Abstract Submitted
Methods and systems for semantic encoding by a user equipment (UE) are configured for determining an expected power consumption for encoding video data that includes semantic features, the semantic features representing a meaning of information represented in video frames of the video data; encoding one or more video frames of the video data using a selected a semantic representation of one or more video frames of the video data, the semantic representation being selected based on the expected power consumption that is determined; and transmitting the encoded video data including the semantic representation.
