International business machines corporation (20240161365). ENHANCING IMAGES IN TEXT DOCUMENTS simplified abstract
Contents
- 1 ENHANCING IMAGES IN TEXT DOCUMENTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ENHANCING IMAGES IN TEXT DOCUMENTS - 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
ENHANCING IMAGES IN TEXT DOCUMENTS
Organization Name
international business machines corporation
Inventor(s)
Atul Mene of Morrisville NC (US)
Martin G. Keen of Cary NC (US)
Sarbajit K. Rakshit of Kolkata (IN)
Tushar Agrawal of West Fargo ND (US)
ENHANCING IMAGES IN TEXT DOCUMENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161365 titled 'ENHANCING IMAGES IN TEXT DOCUMENTS
Simplified Explanation
The patent application describes a method for enhancing images in documents based on the context in which the image is used. A generative adversarial network (GAN) is employed to modify the image according to the surrounding text, headings, titles, and other indicators in the document. This allows for selective emphasis on relevant components of the image and the removal of irrelevant components. General-purpose images can also be retrieved and enhanced for specific document usage.
- Context-based image enhancement in documents
- Utilization of a generative adversarial network (GAN) for image modification
- Selective emphasis on relevant components of the image
- Removal of irrelevant components from the image
- Retrieval and enhancement of general-purpose images for document usage
Potential Applications
The technology could be applied in various fields such as:
- Publishing
- Advertising
- Education
- Graphic design
Problems Solved
- Enhancing the visual appeal of documents
- Improving the relevance of images in relation to the text
- Streamlining the process of image selection and enhancement in documents
Benefits
- Increased engagement of readers
- Improved communication of information
- Enhanced visual presentation of documents
Potential Commercial Applications
Optimizing Images for Document Context: Improving Visual Content Relevance
Possible Prior Art
There may be prior art related to image enhancement techniques in documents, but specific examples are not provided in the abstract.
Unanswered Questions
How does the generative adversarial network (GAN) specifically modify the images in the document context?
The abstract mentions that the GAN is used for image modification, but the exact process and techniques employed are not detailed.
What are the specific indicators used to determine the context of the document for image enhancement?
The abstract mentions nearby text, headings, titles, and tables of content as indicators, but it is unclear how these elements are analyzed and utilized in the image enhancement process.
Original Abstract Submitted
images placed in documents are enhanced based on the context in which the image is used. context is determined according to document-specific indicators such as nearby text, headings, titles, and tables of content. a generative adversarial network (gan) modifies the image according to the context to selectively emphasize relevant components of the image, which may include erasing or deleting irrelevant components. relevant general-purpose images may be retrieved for use in the document and may be selectively enhanced according to usage of the general-purpose image in a given document.
