Google llc (20240127794). Pre-Training a Model Using Unlabeled Videos simplified abstract
Contents
- 1 Pre-Training a Model Using Unlabeled Videos
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Pre-Training a Model Using Unlabeled Videos - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
Pre-Training a Model Using Unlabeled Videos
Organization Name
Inventor(s)
Arsha Nagrani of Cambridge MA (US)
Cordelia Luise Schmid of Saint-Ismier (FR)
Pre-Training a Model Using Unlabeled Videos - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127794 titled 'Pre-Training a Model Using Unlabeled Videos
Simplified Explanation
The patent application describes a method for performing captioning for image or video data using a machine learning model.
- Receiving unlabeled multimedia data
- Outputting one or more captions for the multimedia data from a machine learning model
- Training the machine learning model by inputting a subset of video frames and a first utterance, predicting a second utterance, and updating parameters based on a loss function
Potential Applications
This technology could be applied in:
- Automatic captioning for images and videos
- Enhancing accessibility for individuals with hearing impairments
Problems Solved
This technology addresses:
- The need for efficient and accurate captioning of multimedia data
- Improving user experience by providing captions for videos and images
Benefits
The benefits of this technology include:
- Increased accessibility for individuals with hearing impairments
- Improved searchability and indexing of multimedia content
Potential Commercial Applications
A potential commercial application for this technology could be:
- Integration into video streaming platforms for automatic caption generation
Possible Prior Art
One possible prior art for this technology could be:
- Existing machine learning models for image and video captioning
Unanswered Questions
How does this technology handle different languages for captioning?
The patent application does not specify how the machine learning model can be trained to generate captions in multiple languages.
What is the accuracy rate of the machine learning model in generating captions?
The patent application does not provide information on the accuracy rate of the machine learning model in predicting captions for multimedia data.
Original Abstract Submitted
systems and methods method for performing captioning for image or video data are described herein. the method can include receiving unlabeled multimedia data, and outputting, from a machine learning model, one or more captions for the multimedia data. training the machine learning model to create these outputs can include inputting a subset of video frames and a first utterance into the machine learning model, using the machine learning model to predict a predicted utterance based on the subset of video frames and the first utterance, and updating one or more parameters of the machine learning model based on a loss function that compares the predicted utterance with the second utterance.
