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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.


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