Abstract
Web content is often not tailored to individual user needs, such as accessibility requirements or content preferences. A method is disclosed for automatically modifying web images based on user-defined heuristics. Within a browser setting, a user can specify rules in natural language for how certain image content should be altered. When a web page is rendered, images are analyzed to determine if they match any user-specified rule. If a match is identified, a generative model is used to modify the image according to the corresponding rule. The modified image is then displayed in place of the original. This allows for a customized browsing experience, enabling automatic image adjustments for accessibility, content filtering, and localization.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Rabaud, Vincent and Galligan, Francis, "A Method for Dynamic Web Image Modification via User-Specified Heuristics and Generative Models", Technical Disclosure Commons, (January 09, 2026)
https://www.tdcommons.org/dpubs_series/9157