The IPTC has released the IPTC Photo Metadata Standard 2019.1 This new version of the fundamental standard for descriptive embedded metadata features Image Regions, which users, particularly including application developers, can use to define an area within an image.
Let’s say you want to tag faces with names that your AI recognition software assigns to them. To do that, you’ve got to carve out a shape in the photo and tell your program – and the rest of the world, ultimately – just what is depicted within that area of the picture. Read more
A nefarious metadata plot has been unearthed and news of it is streaking around the interwebs. An Australian law student named Edin Jusupovic was casually looking at photos downloaded from Facebook in a hex editor and tweeted about what he saw.
And from there, as they say, the rest was history. When last I looked, Jusupovic’s tweet had been retweeted 16,637 times, there were nearly 2,000 mostly clueless replies to his thread, and no less a journalistic standard-bearer than Forbes had weighed in: “Facebook Embeds ‘Hidden Codes’ To Track Who Sees And Shares Your Photos”, cried their headline. Read more
How do you deal with photos that come to you with no metadata? If you watched my videos on preparing images for the web, you may have noticed that I said that “I tried to make the demo images look halfway professional.” Most of them had embedded metadata, in other words. You may have cried foul. “None of my [insert adjective] clients ever send me pictures that are labeled in any way!”
We can deal with that. We can slap on some metadata. To our optimizing for the web process, we’ll just add a step to apply the metadata that should have already been there. But we’ll only add seconds to the amount of time it takes. We’ll invest some think/plan/learn time now (again) and the physical process will go by in a blink. Read more
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