Google llc (20240296313). GENERATING NATURAL LANGUAGE DESCRIPTIONS OF IMAGES simplified abstract
Contents
GENERATING NATURAL LANGUAGE DESCRIPTIONS OF IMAGES
Organization Name
Inventor(s)
Samy Bengio of Los Altos CA (US)
Alexander Toshkov Toshev of San Francisco CA (US)
Dumitru Erhan of San Francisco CA (US)
GENERATING NATURAL LANGUAGE DESCRIPTIONS OF IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240296313 titled 'GENERATING NATURAL LANGUAGE DESCRIPTIONS OF IMAGES
The abstract of the patent application describes methods, systems, and apparatus for generating descriptions of input images using neural networks.
- Obtaining an input image
- Processing the input image with a first neural network to create an alternative representation
- Processing the alternative representation with a second neural network to generate a sequence of words in a target natural language describing the input image
Key Features and Innovation:
- Use of neural networks to generate descriptions of input images
- Two-step process involving two neural networks for more accurate descriptions
- Output in natural language for easy understanding
Potential Applications:
- Image captioning for visually impaired individuals
- Automated image description for social media posts
- Enhancing search engine optimization with image descriptions
Problems Solved:
- Providing accurate and detailed descriptions of input images
- Improving accessibility for visually impaired individuals
- Streamlining content creation for social media and marketing purposes
Benefits:
- Improved accessibility for visually impaired individuals
- Enhanced user experience on social media platforms
- Increased efficiency in content creation and SEO optimization
Commercial Applications:
- Content creation tools for social media marketers
- Accessibility features for websites and applications
- SEO optimization tools for businesses
Questions about the technology: 1. How does the use of two neural networks improve the accuracy of image descriptions? 2. What are the potential limitations of using neural networks for generating image descriptions?
Frequently Updated Research:
- Stay updated on advancements in neural network technology for image description generation.
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating descriptions of input images. one of the methods includes obtaining an input image; processing the input image using a first neural network to generate an alternative representation for the input image; and processing the alternative representation for the input image using a second neural network to generate a sequence of a plurality of words in a target natural language that describes the input image.
