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Technique for Mobile Image Processing in the Cloud Cuts Bandwidth Use over 98 Percent

posted by martyb on Sunday November 15 2015, @08:49AM   Printer-friendly
from the image-up-jpeg-back? dept.

Phoenix666 writes:

As smartphones become people's primary computers and their primary cameras, there is growing demand for mobile versions of image-processing applications.

Image processing, however, can be computationally intensive and could quickly drain a cellphone's battery. Some mobile applications try to solve this problem by sending image files to a central server, which processes the images and sends them back. But with large images, this introduces significant delays and could incur costs for increased data usage.

At the Siggraph Asia conference last week, researchers from MIT, Stanford University, and Adobe Systems presented a system that, in experiments, reduced the bandwidth consumed by server-based image processing by as much as 98.5 percent, and the power consumption by as much as 85 percent.

The system sends the server a highly compressed version of an image, and the server sends back an even smaller file, which contains simple instructions for modifying the original image.

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  • (Score: 0) by Anonymous Coward on Sunday November 15 2015, @02:12PM

    by Anonymous Coward on Sunday November 15 2015, @02:12PM (#263646)

    Wow we could like have a Matrix of online connectivity! Couple that with VR and occular implants and the politicians will show us whatever it is they want us to believe and it'll be very real! I assume the modeling software for the cloud version 1.1a will be to generate funding to work on the second a version works on more than just registered voters that use facebook.

    Anyway google has a 2d version of "know good and well you have never done". There are some articles about it. They "improve" pictures, add arms or point where eyes look, or remove people to make an image more pleasing according to some algorythm. One person, I believe, became upset when a number of pictures from a vacation of one year that were taken in the same spot the next year ended up with a dead family member inserted due to that person missing from the later photos (for reasons not clear to the google robots that opted to not leave that idea on the cutting room floor) but in the prior year's photos taken at the same location.