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Suz Hinton on Accessible images (AIMS)

Suz Hinton on Accessible images (AIMS)

In my latest experimentations in 'Guerilla Accessibility,' I stumbled upon this paper a mere two weeks after publication and was excited about the explorations in it. The ideas built upon an unlikely hero of the anti-surveillance field delighted me. There are wide implementation gaps that remain unaddressed in this paper, and I took liberty on these when implementing the algorithms. I'll be sharing both the triumphs and pitfalls of this proposed technique of improving the accessibility of online web content.

Papers_We_Love

February 15, 2018
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  1. Pros + Ease of implementation + Works with any image

    MIME type + Supported in browsers since HTML 2
  2. Cons – Requires coding knowledge – Decoupled from the actual

    image – Plenty* of devs have little to no a11y skills *presenter’s observation of peers from over 12 years of experience in front-end development field
  3. close up photo of a lion facing to the left

    99 1100011 ASCII character code
  4. Knowing the length of alt text ? store length in

    consistent pixel location ? use special character to indicate end (EOF?) ? NLP (lol no)
  5. Computing bit position in image ? use a PRNG with

    seed ? decoder needs to know the seed
  6. Pros + Description is portable with image + Less code

    + Less effort + Rad use of steganography
  7. Cons – Single language restriction – Lossless image format required

    – Compression can destroy / corrupt data – Most significant human labor not removed – Opt-in, standard adoption challenges