View source for 17947381. METHODS, SYSTEMS, AND MEDIA FOR PROVIDING AUTOMATED ASSISTANCE DURING A VIDEO RECORDING SESSION simplified abstract (Google LLC)

=METHODS, SYSTEMS, AND MEDIA FOR PROVIDING AUTOMATED ASSISTANCE DURING A VIDEO RECORDING SESSION=


==Organization Name==

[[:Category:Google LLC|Google LLC]]


[[Category:Google LLC]]

==Inventor(s)==

[[:Category:Trond Wuellner of Mountain View CA (US)|Trond Wuellner of Mountain View CA (US)]][[Category:Trond Wuellner of Mountain View CA (US)]]

[[:Category:Ariel Braunstein of San Francisco CA (US)|Ariel Braunstein of San Francisco CA (US)]][[Category: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 17947381 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 segments.
* Using a machine learning model to analyze audio and video content to determine segment metadata and quality metrics.
* Associating each segment with the metadata and quality metrics for later editing.
* Receiving remote inputs like voice commands or gestures during the session.
* Determining video recording commands associated with the remote inputs.
* Executing actions based on the video recording commands.

**Potential Applications:**
- Video production
- Content creation
- Video editing software

**Problems Solved:**
- Automated assistance during video recording sessions
- Improved video quality analysis
- Efficient editing process

**Benefits:**
- Enhanced user experience
- Streamlined video recording and editing
- Increased productivity

**Potential Commercial Applications:**
- Video editing software for professionals
- Video recording devices with automated features
- Content creation platforms

**Possible Prior Art:**
- Automated video editing software
- Voice command-controlled devices for video recording

**Unanswered Questions:**

**1. How does the machine learning model differentiate between different types of remote inputs?**
The abstract mentions receiving remote inputs like voice commands, gestures, and remote control commands, but it does not specify how the machine learning model distinguishes between these different types of inputs.

**2. What specific metrics are used to determine segment quality in the video recording session?**
While the abstract mentions analyzing audio and video content to determine segment quality metrics, it does not detail the specific metrics or criteria used in this analysis.


==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.



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