[OPLIN 4cast] OPLIN 4Cast #682: Protecting a Pixel Perfect Future

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OPLIN 4Cast #682: Protecting a Pixel Perfect Future
August 19th, 2020

[image: background with retro filmstrip and golden stars] Last week, computer
scientist Russell Kirsch
<https://www.dpreview.com/news/2623782158/russell-kirsch-inventor-of-the-pixel-dies-in-his-portland-home-at-age-91>,
best known for inventing the pixel, passed away. Kirsch and his team of
researchers laid the groundwork for all image processing and image pattern
recognition. It is fitting this week to focus on news about an exciting
breakthrough in image processing, and steps companies are making to
digitally mark images that have been altered.



   -
   - AI Magic Makes Century-Old Films Look New
   <https://www.wired.com/story/ai-magic-makes-century-old-films-look-new/>
   [*Wired*] "You can’t call these *restorations* of films, because the
   algorithms aren’t just getting rid of imperfections—they’re actually
   filling in approximations of the data missing from old, blurry,
   low-frame-rate films. Basically, the algorithms are making stuff up based
   on their previous training."
   - Adobe’s plans for an online content attribution standard could have
   big implications for misinformation
   <https://techcrunch.com/2020/08/03/adobe-cai-whitepaper/> [*TechCrunch*]
   "It will provide a more robust way for content creators to keep their names
   attached to the work they make. But even more compelling is the idea that
   the project could provide a technical solution to image-based
   misinformation. A way to track the provenance of the pictures and videos we
   encounter online could create a chain of custody that we lack now."
   - Photoshop's upcoming tagging system will help identify edited images
   <https://www.engadget.com/adobe-content-authenticity-initiative-photoshop-213332681.html>
   [*Engadget*] "Last year, with help from *The New York Times *and
   Twitter, Adobe started working on the Content Authenticity Initiative
   <https://blog.adobe.com/en/2019/11/04/content-authenticity-initiative.html>,
   an attempt to cut down on the number of altered images that circulate
   online. Adobe said the technology would use metadata tagging and
   cryptography to help the public properly attribute and verify the
   authenticity of images, videos and other content. That tech will soon get
   its first test."
   - Adobe plans to preview its system of flagging 'photoshopped' images
   later this year
   <https://www.neowin.net/news/adobe-plans-to-preview-its-system-of-flagging-photoshopped-images-later-this-year/>
   [*Neowin*] "Under the initiative, Adobe aims to use a system of tags to
   trace back a given image to the photographer and the location where the
   photograph was taken. These tags will have a layer of additional security
   with the help of cryptographic signatures. Whenever a photo is edited,
   subsequent tags will be added to create a record containing the complete
   history and origins of the photograph to verify its integrity."

*From the Ohio Web Library <http://ohioweblibrary.org>:*

   - Adobe. “Adobe, The New York Times Company and Twitter Announce Content
   Authenticity Initiative to Develop Industry Standard for Content Attribution
   <https://proxy.oplin.org:2111/login.aspx?direct=true&db=bwh&AN=bizwire.bw69864607&site=ehost-live>
   .” *Business Wire (English)*, 2019 Apr. 11AD.
   - Canales, Manuel, and Ryan T. Williams. “How Eyes Make Sense of Pixels
   <https://proxy.oplin.org:2111/login.aspx?direct=true&db=mih&AN=131416284&site=ehost-live>
   .” *National Geographic*, vol. 234, no. 4, Oct. 2018, p. 36.
   - “Revealed... How AI Technology Is Colouring Our History
   <https://proxy.oplin.org:2111/login.aspx?direct=true&db=bwh&AN=144306087&site=ehost-live>
   .” *Daily Mail*, July 2020, p. 24.

------------------------------
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