18662584. GENERATING NATURAL LANGUAGE DESCRIPTIONS OF IMAGES simplified abstract (GOOGLE LLC)
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 18662584 titled 'GENERATING NATURAL LANGUAGE DESCRIPTIONS OF IMAGES
The abstract of this 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:
- Utilization of neural networks to generate descriptions of input images
- Two-step process involving two neural networks for accurate description generation
Potential Applications:
- Image captioning for visually impaired individuals
- Automated image description generation for social media posts
- Enhancing image search capabilities with descriptive text
Problems Solved:
- Providing accurate and detailed descriptions of input images
- Improving accessibility for visually impaired individuals
- Streamlining content creation processes for social media users
Benefits:
- Enhanced user experience for visually impaired individuals
- Increased efficiency in content creation
- Improved search engine optimization for images
Commercial Applications:
- Content creation tools for social media platforms
- Accessibility features for websites and applications catering to visually impaired users
- Image search engines with enhanced descriptive capabilities
Questions about Image Description Generation: 1. How do neural networks improve the accuracy of image descriptions? 2. What are the potential limitations of using neural networks for image description generation?
Frequently Updated Research: Stay updated on advancements in neural network technology for image description generation to ensure optimal performance and accuracy.
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.
