Apple inc. (20240121453). SEMANTIC COMPRESSION FOR COMPUTE OFFLOADING simplified abstract
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 20240121453 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 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 expected power consumption and transmits the encoded video data with the semantic representation.
- Semantic encoding methods and systems for video data
- Determine power consumption for encoding based on semantic features
- Encode video frames using selected semantic representation
- Transmit 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 and enhance video quality.
Problems Solved
This technology solves the problem of inefficient video encoding processes that do not consider power consumption, leading to unnecessary energy usage and reduced battery life in mobile devices.
Benefits
The benefits of this technology include improved power efficiency, enhanced video quality, extended battery life for mobile devices, and optimized performance in video applications.
Potential Commercial Applications
The potential commercial applications of this technology include video streaming services, security and surveillance systems, video conferencing platforms, and mobile device manufacturers looking to improve power efficiency in video encoding processes.
Possible Prior Art
One possible prior art could be the use of semantic encoding techniques in image processing applications to optimize power consumption and enhance image quality.
Unanswered Questions
How does this technology impact the overall user experience in video applications?
This article does not delve into the user experience aspect of the technology, such as potential improvements in video streaming quality or reduced buffering times for users.
What are the potential challenges in implementing this technology on a large scale?
The article does not address the scalability issues or potential obstacles in deploying this technology across various video platforms and devices.
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.
