Gm global technology operations llc (20240282008). OBJECT BLURRING ON COMPRESSED VIDEOS simplified abstract
OBJECT BLURRING ON COMPRESSED VIDEOS
Organization Name
gm global technology operations llc
Inventor(s)
Andrew W. Averhart of Redford MI (US)
OBJECT BLURRING ON COMPRESSED VIDEOS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240282008 titled 'OBJECT BLURRING ON COMPRESSED VIDEOS
The patent application describes a system for object blurring in compressed videos, involving sensors, human machine interfaces (HMIs), and control modules.
- Control modules contain processors, memory, and input/output ports, communicating with sensors and HMIs.
- Memory stores control logic executed by the processor, which encodes raw image data into compressed image data.
- Control logic parses and partially decodes the compressed image data to access raw independent video frames for post-processing.
- Post-processed independent video frames are encoded and replace raw frames in the compressed image data.
- The system transmits an output including the encoded post-processed frames to the HMI.
Potential Applications: - Video editing software - Surveillance systems - Broadcasting technology
Problems Solved: - Enhancing privacy by blurring objects in videos - Improving video quality through post-processing algorithms
Benefits: - Enhanced privacy protection - Improved video quality - Efficient video processing
Commercial Applications: Title: Advanced Video Editing System for Privacy Protection This technology can be used in video editing software for privacy protection, surveillance systems for enhanced security, and broadcasting technology for improved video quality.
Questions about the technology: 1. How does the system ensure efficient communication between sensors, control modules, and HMIs? 2. What are the potential limitations of the post-processing algorithms used in this system?
Original Abstract Submitted
a system for object blurring in compressed videos includes sensors, human machine interfaces (hmis), and control modules. each control module has a processor, memory, and input/output (i/o) ports. the control modules communicate with the sensors and the hmis via the i/o ports. the memory stores control logic that is executed by the processor. the control logic receives raw image data from the sensors, encodes the raw image data into compressed image data and stores the compressed image data in memory. the control logic parses and partially decodes the compressed image data to access raw independent video frames and performs post-processing algorithms on the raw independent video frames to generate post-processed independent video frames. the post-processed independent video frames are encoded and replace raw independent video frames in the compressed image data. the control logic transmits an output including the encoded post-processed independent and dependent video frames to the hmi.
