Re:Approximating images with Voronoi diagrams
by pointernil on Monday May 18, 2015 @06:56AM
(#9563679)
First! We need a cool name! ;)
shadow codec - the 'shadow' is either the large approximated image or the small one that only shows the details. Probably the small one :D
Re:Approximating images with Voronoi diagrams
by pointernil on Monday May 18, 2015 @04:57PM
(#9566832)
Yea! To get the js-css-trickster-folks on board the first version works 'obviously' by splitting an image into the shadow and non-shadow parts offline. The result gets recombined in the browser by overlaying them and using some fancy blending modes.
Some micro-benchmarking should be able to show that the two shadows (jpg compressed 'obviously') plus css and js put together are smaller than a simple jpg compressed version of the input image...
Go! Go! Go! Before Hooli steals the idea... ;)
Re:Approximating images with Voronoi diagrams
by maxpersson on Monday May 18, 2015 @09:48AM
(#9564373)
Pied Piper :)
Re:Approximating images with Voronoi diagrams
by pointernil on Monday May 18, 2015 @04:47PM
(#9566779)
To prevent confusion and to stay consistent with my nick, I suggest: "Piper pied"
E.g. a 320x240 video has 3 seconds at 25fps, i.e. 75 frames and key frames are created each second. Frame sizes will then be something like:
Now, this technique might be good when compressing images - have a large image that roughly approximates the original and then a smaller one reducing the errors. Or even better, multiple smaller images that correct local errors?I suggest we create a startup immediately. Someone might already have a cool video explaining how their compression algorithm is going to change the web and the world.
edit: others already thought of this: https://sonnati.wordpress.com/2010/10/19/h-264-for-image-com...