Category: Software & Technology

  • Chronolocation: Determining When a Photo was Taken Using Facebook, Google Street View and Assorted Tiny Details – bellingcat

    Chronolocation: Determining When a Photo was Taken Using Facebook, Google Street View and Assorted Tiny Details - bellingcat

    Chronolocation: Determining When a Photo was Taken Using Facebook, Google Street View and Assorted Tiny Details – bellingcat

    Social media posts, mapping tools and a being aware of small but important details can help researchers determine when an undated image was taken.

    via bellingcat: https://www.bellingcat.com/resources/2023/05/08/chronolocation-determining-when-a-photo-was-taken-using-facebook-google-street-view-and-assorted-tiny-details/

    Essentially, any aspect of a source image could be of use, provided that it has changed over time. Sometimes clues will be so obvious that it’s possible to immediately figure out the rough date of the source image from one detail alone.

  • EU Law to Force AI Imagers to Disclose Copyrighted Photos in Dataset | PetaPixel

    EU Law to Force AI Imagers to Disclose Copyrighted Photos in Dataset

    EU Law to Force AI Imagers to Disclose Copyrighted Photos in Dataset

    Midjourney might have to reveal exactly what photos it used to train its model.

    via PetaPixel: https://petapixel.com/2023/05/01/eu-law-to-force-ai-imagers-to-disclose-copyrighted-photos-in-dataset/

    According to a report from the Reuters news agency, companies such as Midjourney will have to reveal the material used to train its artificial intelligence (AI) models. It will be the same for generative language models like ChatGPT.

  • How AI Imagery is Shaking Photojournalism — Blind Magazine

    How AI Imagery is Shaking Photojournalism — Blind Magazine

    How AI Imagery is Shaking Photojournalism — Blind Magazine

    In this Op-ed, independent photography director Amber Terranova discusses one of the most controversial AI imagery projects in recent weeks.

    via Blind Magazine: https://www.blind-magazine.com/stories/how-ai-imagery-is-shaking-photojournalism/

    In this Op-ed, independent photography director and educator Amber Terranova discusses one of the most controversial AI imagery projects in recent weeks.

  • Getty Images sues AI art generator Stable Diffusion in the US for copyright infringement – The Verge

    Getty Images sues AI art generator Stable Diffusion in the US for copyright infringement

    Getty Images sues AI art generator Stable Diffusion in the US for copyright infringement

    Getty says Stability AI stole 12 million images without permission

    via The Verge: https://www.theverge.com/2023/2/6/23587393/ai-art-copyright-lawsuit-getty-images-stable-diffusion

    Getty Images has filed a case against Stability AI, alleging that the company copied 12 million images to train its AI model ‘without permission … or compensation.’

  • 2022: A Year of visual tech in review – Kaptur

    2022: A Year of visual tech in review - Kaptur

    2022: A Year of visual tech in review – Kaptur

    What were the most talked about technologies of 2022? What happened in visual tech? And who were the biggest disappointments?

    via Kaptur: https://kaptur.co/2022-a-year-of-visual-tech-in-review/

    The year is coming to an end, and unlike the previous years, things are not quieting down. In fact, it’s increasing. 2022 is undoubtedly the year of Generative AI. And with it, not only a flurry of applications but many, many questions, if not anxieties. While other events might have happened in the visual space this past year, nothing will be as much remembered as the shockwave created by the successive public releases of DallE, Stable AI and Midjourney. It’s too bad because other technologies, like Neural Radiance Field ( NeRF), can certainly benefit from more exposure. If anything, 2022 has demonstrated that nothing is ever settled in the world of visual tech.

  • Camera-to-Cloud RAW is the Start of the Computational Revolution | PetaPixel

    Camera-to-Cloud RAW is the Start of the Computational Revolution

    Camera-to-Cloud RAW is the Start of the Computational Revolution

    This is a huge development that not enough people are talking about.

    via PetaPixel: https://petapixel.com/2022/11/03/camera-to-cloud-raw-is-the-start-of-the-computational-revolution/

    Adobe recently announced new Camera to Cloud integrations, following its recent acquisition of Frame.io. The Fuji X-H2S will become the first stills camera to natively shoot “to the cloud”. This might seem like a niche feature, however look beyond the headlines and this could be a generational step change. Not only because of the ability save to the cloud (like Google Photos) but because of what this then enables.

  • Generative AI : Do or Die – Thoughts of a Bohemian

    Generative AI : Do or Die - Thoughts of a Bohemian

    Generative AI : Do or Die – Thoughts of a Bohemian

    Generative AI is here to stay. So rather than fighting it with pseudo-legal arguments, the stock photo industry should embrace it

    via Thoughts of a Bohemian: http://blog.melchersystem.com/generative-ai-do-or-die/

    Understandably, new powerful technologies like generative AI triggers anxiety. But the conversation needs to evolve and move on from the fear of what it might potentially do if left unrestrained: From cataclysmic copyright infringement to the complete substitution of our reality, it is bringing a tsunami of society devastating changes. And if our elected political representatives do not protect us with the combined forces of ethics and legislation, the world, as we know it, will soon cease to exist. Or so they say.

  • A New 3,200-Megapixel Camera Has Astronomers Salivating | WIRED

    A New 3,200-Megapixel Camera Has Astronomers Salivating

    A New 3,200-Megapixel Camera Has Astronomers Salivating

    The Vera C. Rubin Observatory’s key instrument is almost ready to be installed on the telescope, where it will image tens of billions of cosmic objects.

    via WIRED: https://www.wired.com/story/a-new-3200-megapixel-camera-has-astronomers-salivating/

    That’s when the telescope will begin collecting 20 terabytes of data every night for 10 years. With it, scientists will build a vast map of the sky as seen from the southern hemisphere, including 20 billion galaxies and 17 billion stars in the Milky Way

  • Police Can Trace Cameras Thanks to Sensor Imperfection ‘Fingerprints’ | PetaPixel

    Police Can Trace Cameras Thanks to Sensor Imperfection 'Fingerprints'

    Police Can Trace Cameras Thanks to Sensor Imperfection ‘Fingerprints’

    It’s another tool to help law enforcement fight child exploitation.

    via PetaPixel: https://petapixel.com/2022/07/01/police-can-trace-cameras-thanks-to-sensor-imperfection-fingerprints/

    “Every camera has some imperfections in its embedded sensors, which manifest themselves as image noise in all frames but are invisible to the naked eye.”

  • Inside An NFT Collector’s Eclectic Photo Gallery – Feature Shoot

    Inside An NFT Collector's Eclectic Photo Gallery - Feature Shoot

    Inside An NFT Collector’s Eclectic Photo Gallery – Feature Shoot

    Peter Molick’s photography collection brings us around the world, from the unforgiving polar nights of Russia’s Kola Peninsula, captured by Simon Roberts, to the sun-baked landscapes of the American West,…

    via Feature Shoot: https://www.featureshoot.com/2022/03/inside-an-nft-collectors-eclectic-photo-gallery/

    “Despite having sold out a collection of my own, Crossings (Houston), I hadn’t fully bought into the idea of photographs sold as NFTs. But during this conversation, it really became clear to me that an NFT of a photograph is essentially the digital edition offered of that work by an artist, and it can be as simple as that.

  • The First Standard to Assure a Photo’s Authenticity Has Been Created | PetaPixel

    The First Standard to Assure a Photo's Authenticity Has Been Created

    The First Standard to Assure a Photo’s Authenticity Has Been Created

    The first-ever specification to certify the authenticity of photos has been released.

    via PetaPixel: https://petapixel.com/2022/01/26/the-first-standard-to-assure-a-photos-authenticity-has-been-created/

    In an effort to combat online misinformation, the Coalition for Content Provenance and Authenticity (C2PA) has released the first-ever technical specification designed to certify the source and history of digital media.

  • 2021 – A review of visual tech – Kaptur

    2021 - A review of visual tech - Kaptur

    2021 – A review of visual tech – Kaptur

    If visual tech experienced a landmark year, 2021 could be it.

    via Kaptur: https://kaptur.co/2021-a-review-of-visual-tech/

    Within its half-open, half-closed status, 2021 will be remembered as a transition year: A melting pot between ending lockdowns, rising vaccines and masks mandates, new variants, ending and restarting restrictions. But if anything, it did nothing to slow down the pace of online innovation—quite the opposite. If visual tech experienced a landmark year, 2021 could be it.

  • Photoshop’s ‘Content Credentials’ Embeds Attribution Data into Photos | PetaPixel

    https://petapixel.com/2021/10/26/photoshops-content-credentials-embeds-attribution-data-into-photos/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+petapixel+%28PetaPixel%29
    The Content Authenticity Initiative (CAI) was founded by Adobe, Twitter, and the New York Times in 2019 as a way to battle against image disinformation and increase the trust and transparency of content shared online — namely images and photos. In the two years since it was founded, the CAI has expanded to more than 350 members, and now includes Agence France-Presse (AFP) and Nikon.
  • Google’s New AI Photo Upscaling Tech is Jaw-Dropping | PetaPixel

    https://petapixel.com/2021/08/30/googles-new-ai-photo-upscaling-tech-is-jaw-dropping/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+petapixel+%28PetaPixel%29
    Photo enhancing in movies and TV shows is often ridiculed for being unbelievable, but research in real photo enhancing is actually creeping more and more into the realm of science fiction. Just take a look at Google’s latest AI photo upscaling tech.
  • Adobe Photoshop’s ‘Super Resolution’ Made My Jaw Hit the Floor

    https://petapixel.com/2021/03/13/adobe-photoshops-super-resolution-made-my-jaw-hit-the-floor/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+PetaPixel+%28PetaPixel%29
    Adobe just dropped its latest software updates via the Creative Cloud and among those updates is a new feature in Adobe Camera Raw (ACR) called “Super Resolution.” You can mark this day down as a major shift in the photo industry.
  • Understanding ProRAW. A journey into cameras, RAW, and a look… | by Ben Sandofsky | Dec, 2020 | Halide

    https://blog.halide.cam/understanding-proraw-4eed556d4c54
    We make the most popular RAW camera for iPhone, so when Apple revealed their new ProRAW image format, we were beyond excited.
  • GitHub – mikf/gallery-dl: Command-line program to download image-galleries and -collections from several image hosting sites

    https://github.com/mikf/gallery-dl
    gallery-dl is a command-line program to download image-galleries and -collections from several image hosting sites (see Supported Sites). It is a cross-platform tool with many configuration options and powerful filenaming capabilities.
  • Tool to Help Journalists Spot Doctored Images Is Unveiled by Jigsaw – The New York Times

    The company, owned by Google’s parent, introduced a free tool it calls Assembler to sort out real images from fake ones.
  • test post

  • bellingcat – Guide To Using Reverse Image Search For Investigations – bellingcat

    [contentcards url=“https://www.bellingcat.com/resources/how-tos/2019/12/26/guide-to-using-reverse-image-search-for-investigations/”]

    bellingcat – Guide To Using Reverse Image Search For Investigations – bellingcat

    This guide will walk through detailed strategies to use reverse image search in digital investigations, with an eye towards identifying people and locations, along with determining an image’s progeny. After detailing the core differences between the search engines, Yandex, Bing, and Google are tested on five test images showing different objects and from various regions of the world.