The technology is currently
in development, and freely available on GitHub. In a time where we carry GB’s worth of
photos and videos on our smartphones, it’s no wonder a number of us will have
ponderously massive collections of videos stored at home. Which is all well and
good, you have everything you want to save tucked away somewhere, but how do
you find any of it?
Even major companies Google
and Apple have recognised the issue at hand, implementing new sorting and
search functions in their local and cloud storage tools. But researchers at the
University of Basel in Switzerland are looking to develop and even better
system, called ‘vitrivr’.
Vitrivr, is the team’s
in-development video retrieval system that has a unique method to find content.
The user searches for a video from a database but, instead of typing out a
name, the user can draw a basic sketch of the picture or video on a linked
tablet to query it. Colouring in the basic shades of the background for example
might throw up a few results, which can in turn be used to modify the search
for better accuracy. If you’re still confused, just check out the demo video
below.
Right now, vitrivr is being tested
with a custom search engine and database, but it is scalable, meaning that in
the future it can even be used with very large collections. Consider the
possibility of the tool embedded into say Netflix. If you’re watching on your
phone, you don’t even need to scroll out type out the show’s name, just draw
the show’s logo and you find what you need.
The vitrivr system is open source
and freely available on GitHub. And if you’re good at coding, and looking to
try it out, there’s even a handy startup guide here (https://www.vitrivr.org/getting_started.html)
SOURCE: http://www.dnaindia.com/scitech/report-vitrivr-is-an-open-source-engine-that-lets-you-search-for-videos-with-a-sketch-2218794
