Google llc (20240137566). METHODS AND SYSTEMS FOR NON-DESTRUCTIVE STABILIZATION-BASED ENCODER OPTIMIZATION simplified abstract
Contents
- 1 METHODS AND SYSTEMS FOR NON-DESTRUCTIVE STABILIZATION-BASED ENCODER OPTIMIZATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHODS AND SYSTEMS FOR NON-DESTRUCTIVE STABILIZATION-BASED ENCODER OPTIMIZATION - 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
METHODS AND SYSTEMS FOR NON-DESTRUCTIVE STABILIZATION-BASED ENCODER OPTIMIZATION
Organization Name
Inventor(s)
Damien Kelly of San Francisco CA (US)
Bartlomiej Wronski of Santa Monica CA (US)
METHODS AND SYSTEMS FOR NON-DESTRUCTIVE STABILIZATION-BASED ENCODER OPTIMIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240137566 titled 'METHODS AND SYSTEMS FOR NON-DESTRUCTIVE STABILIZATION-BASED ENCODER OPTIMIZATION
Simplified Explanation
The patent application abstract describes a method for identifying and modifying motion stabilization transformations applied to a video item, specifically focusing on the motion between video frames in a video sequence.
- Motion stabilization transformations are applied to a video item to correct motion between video frames.
- Operations are determined to modify the motion stabilization transformations.
- The identified operations are performed to adjust the stabilization of the video item.
- The modified video item is then provided for playback on a client device, showing improved stabilization during motion.
Potential Applications
The technology described in this patent application could be applied in various industries and fields, including:
- Video production and editing
- Surveillance and security systems
- Virtual reality and augmented reality applications
- Live streaming and broadcasting
Problems Solved
The technology addresses the following issues:
- Shaky or unstable video footage
- Motion blur between video frames
- Inaccurate representation of motion in video sequences
- Difficulty in post-processing stabilization of video content
Benefits
The benefits of this technology include:
- Improved video quality and stability
- Enhanced viewing experience for audiences
- Simplified post-production editing processes
- Increased accuracy in motion representation
Potential Commercial Applications
The technology could be commercially applied in:
- Video editing software tools
- Camera and recording equipment
- Streaming platforms and services
- Security and surveillance systems
Possible Prior Art
One possible prior art for this technology could be existing video stabilization software and algorithms used in video editing and post-production processes.
What are the specific modifications that can be made to the motion stabilization transformations in the video item?
The specific modifications that can be made include adjusting the intensity of stabilization, changing the stabilization algorithm used, and fine-tuning the stabilization parameters to suit the specific motion characteristics of the video item.
How does this technology compare to existing motion stabilization techniques in terms of effectiveness and efficiency?
This technology offers a more advanced and precise method of modifying motion stabilization transformations, leading to improved effectiveness in stabilizing video footage. Additionally, the efficiency of the process is enhanced by automating the identification and modification of stabilization transformations, reducing the time and effort required for manual adjustments.
Original Abstract Submitted
a video item that is subject to one or more motion stabilization transformations applied to the video item is identified. the one or more motion stabilization transformations pertain to a motion between video frames of a video sequence associated with the video item. one or more operations to modify the one or more motion stabilization transformations applied to the video item are determined. the one or more operations to modify the motion stabilization transformations are performed. the video item is provided for playback via a client device. playback of the video item depicts at least a portion of the motion between the video frames of the video sequence.
