Accessing images online is often difficult for users with vision impairments. This population
relies on text descriptions of images that vary based on website authors' accessibility …

Evaluating the quality of accessible image captions with human raters is difficult, as it may
be difficult for a visually impaired user to know how comprehensive a caption is, whereas a …

The access of visually impaired users to imagery in social media is constrained by the
availability of suitable alt text. It is unknown how imperfections in emerging tools for …

Blind users rely on alternative text (alt-text) to understand an image; however, alt-text is often
missing. AI-generated captions are a more scalable alternative, but they often miss crucial …

Few images on the Web receive alt-text descriptions that would make them accessible to
blind and low vision (BLV) users. Image-based NLG systems have progressed to the point …

Image descriptions are how people who are blind or have low vision (BLV) access
information depicted within images. To our knowledge, no prior work has examined how a …

Images without alternative text are a barrier to equal web access for blind users. To illustrate
the problem, we conducted a series of studies that conclusively show that a large fraction of …

One of the ways blind people understand their surroundings is by clicking images and
relying on descriptions generated by image captioning systems. Current work on captioning …

Image descriptions can help visually impaired people to quickly understand the image
content. While we made significant progress in automatically describing images and optical …

While an important problem in the vision community is to design algorithms that can
automatically caption images, few publicly-available datasets for algorithm development …