Google llc (20240096318). METHODS, SYSTEMS, AND MEDIA FOR PROVIDING AUTOMATED ASSISTANCE DURING A VIDEO RECORDING SESSION simplified abstract
Contents
- 1 METHODS, SYSTEMS, AND MEDIA FOR PROVIDING AUTOMATED ASSISTANCE DURING A VIDEO RECORDING SESSION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHODS, SYSTEMS, AND MEDIA FOR PROVIDING AUTOMATED ASSISTANCE DURING A VIDEO RECORDING SESSION - 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, SYSTEMS, AND MEDIA FOR PROVIDING AUTOMATED ASSISTANCE DURING A VIDEO RECORDING SESSION
Organization Name
Inventor(s)
Trond Wuellner of Mountain View CA (US)
Ariel Braunstein of San Francisco CA (US)
METHODS, SYSTEMS, AND MEDIA FOR PROVIDING AUTOMATED ASSISTANCE DURING A VIDEO RECORDING SESSION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096318 titled 'METHODS, SYSTEMS, AND MEDIA FOR PROVIDING AUTOMATED ASSISTANCE DURING A VIDEO RECORDING SESSION
Simplified Explanation
The patent application describes methods, systems, and media for providing automated assistance during a video recording session. Here is a simplified explanation of the abstract:
- Receiving user input to start a video recording session with multiple non-contiguous segments.
- Using a machine learning model to analyze audio and video content to determine segment metadata and quality metrics for each segment.
- Associating segment metadata and quality metrics with each segment for editing purposes.
- Receiving remote input during the session, such as voice or gesture commands.
- Determining video recording commands associated with the remote input using the machine learning model.
- Executing actions associated with the video recording commands during the session.
Potential Applications
- Video production
- Content creation
- Video editing software
Problems Solved
- Automated assistance during video recording sessions
- Improved video quality analysis
- Enhanced user experience during video editing
Benefits
- Streamlined video recording and editing process
- Increased efficiency in content creation
- Enhanced user control and interaction during recording sessions
Potential Commercial Applications
- Video recording and editing software for professionals
- Live streaming platforms
- Video conferencing tools
Possible Prior Art
There may be prior art related to video recording and editing software that includes some level of automated assistance or analysis of video quality metrics. However, the specific combination of features described in this patent application may be novel and inventive.
Unanswered Questions
How does the machine learning model adapt to different user preferences and styles during a video recording session?
The patent application does not provide details on how the machine learning model can adapt to individual user preferences and styles during a video recording session. This could be an important aspect to consider for personalized user experiences.
What measures are in place to ensure data privacy and security during the video recording session?
The patent application does not address specific measures for data privacy and security during the video recording session. It would be essential to understand how user data is handled and protected in this automated assistance system.
Original Abstract Submitted
methods, systems, and media for providing automated assistance during a video recording session are provided. in some embodiments, the method comprises: receiving, at a first user device, user input to initiate a video recording session, wherein a video recording session comprises a plurality of segments of recorded video, wherein at least one segment of recorded video is non-contiguous with a second segment of recorded video; executing a machine learning model on the first user device that monitors the video recording session and that analyzes audio content and video content of the recorded video to determine segment metadata and segment quality metrics for each segment of the plurality of segments of recorded video; associating each segment of the plurality of segments of recorded video with the segment metadata and the segment quality metrics determined using the machine learning model, wherein the segment metadata and the segment quality metrics for each segment of the plurality of segments is presented when editing the recorded video from the video recording session; receiving a remote input during the video recording session, wherein the remote input comprises at least one of a voice command, a gesture command, and a remote control command; determining, using the machine learning model executing on the first user device, a video recording command associated with the remote input; and causing the video recording session to execute an action associated with the video recording command.
