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> Imagine being able to connect with the artist of a viral GIF you see in your feed, learn the history or origin of any image, or automatically reward a musicia

by CPLX 10y ago

> Imagine being able to connect with the artist of a viral GIF you see in your feed, learn the history or origin of any image, or automatically reward a musician whenever you press play. OK, I've gone and imagined it. I'm not entirely convinced that any appreciable number of people actually want to do these things though. Is this a clever application of a trendy technology creating a solution that's searching for a problem? What are the real life business model use cases for such a tool?

denisnazarov 10y ago
Our goal is to make the monetization of media follow the content, instead of flowing from the platform like it does today. Today, Mediachain can automatically link an image to who made it. That same channel can be used to transfer value directly through content in the future. We believe that this will create a huge opportunity for developers to build new media applications that reward creators directly through their content, no matter where it is.
- chillingeffect 10y ago
  How is it different from, e.g. hashing or fingerprinting an image a la tineye? Does your system require metadata along with the image? If so, what about once an image escapes the metadata?
  - denisnazarov 10y ago
    The perceptual recognition technology is similar to Shazam or Google Image search (or Tineye), identifying media based on how it looks or sounds. This allows Mediachain to always point back to information about an image, even if its metadata is stripped out as it goes viral, for example. Near duplicate image detection is quite far along and works well for images that are cropped, distorted, etc. More on our approach in this post: https://blog.mediachain.io/perceptual-resolution-9c00ad5ca555?source=latest https://blog.mediachain.io/perceptual-resolution-9c00ad5ca55... Details on the implementation in this RFC: https://github.com/mediachain/mediachain/blob/master/rfc/mediachain-rfc-3.md https://github.com/mediachain/mediachain/blob/master/rfc/med...
- Kalium 10y ago
  And what's the utility to end-users, who just want to share a cute picture of a cat, that they should care? And thus that a media host should care to implement this?
  - thatcat 10y ago
    Perhaps the media host would receive less DRM take downs and a more accurate 'relevant content' prediction model since the true origin of content is confirmed.
    - Kalium 10y ago
      Given that DRM takedowns are already not meaningfully linked to accuracy or relevance, it seems unlikely that Mediachain will change that.
JoblessWonder 10y ago
Well, I made a GIF that went viral. It was posted on all of the major websites and attributed to someone's twitter who found it on someone else's twitter. I could see how it would be nice to have made a few dollars/cents from that image. Although, is it my content or CSPAN's (the original makers of the video?)

by CPLX 10y ago

denisnazarov 10y ago

Our goal is to make the monetization of media follow the content, instead of flowing from the platform like it does today. Today, Mediachain can automatically link an image to who made it. That same channel can be used to transfer value directly through content in the future. We believe that this will create a huge opportunity for developers to build new media applications that reward creators directly through their content, no matter where it is.

chillingeffect 10y ago
How is it different from, e.g. hashing or fingerprinting an image a la tineye? Does your system require metadata along with the image? If so, what about once an image escapes the metadata?
- denisnazarov 10y ago
  The perceptual recognition technology is similar to Shazam or Google Image search (or Tineye), identifying media based on how it looks or sounds. This allows Mediachain to always point back to information about an image, even if its metadata is stripped out as it goes viral, for example. Near duplicate image detection is quite far along and works well for images that are cropped, distorted, etc. More on our approach in this post: https://blog.mediachain.io/perceptual-resolution-9c00ad5ca555?source=latest https://blog.mediachain.io/perceptual-resolution-9c00ad5ca55... Details on the implementation in this RFC: https://github.com/mediachain/mediachain/blob/master/rfc/mediachain-rfc-3.md https://github.com/mediachain/mediachain/blob/master/rfc/med...
Kalium 10y ago
And what's the utility to end-users, who just want to share a cute picture of a cat, that they should care? And thus that a media host should care to implement this?
- thatcat 10y ago
  Perhaps the media host would receive less DRM take downs and a more accurate 'relevant content' prediction model since the true origin of content is confirmed.
  - Kalium 10y ago
    Given that DRM takedowns are already not meaningfully linked to accuracy or relevance, it seems unlikely that Mediachain will change that.

JoblessWonder 10y ago

Well, I made a GIF that went viral. It was posted on all of the major websites and attributed to someone's twitter who found it on someone else's twitter. I could see how it would be nice to have made a few dollars/cents from that image. Although, is it my content or CSPAN's (the original makers of the video?)