FaceCrop™
Video Compression powered by facial recognition
Problem
Video delivery on
1) Poor bandwidths
2) Small screen devices (old phones and smart watches)
End-Product-Focused Solution
Content discovery platform,
with dynamic video caching,
that works on low bandwidth networks
as well as offline
(android and iphone app)
Who Uses or Benefits From the End-Product Focused Solution
People who do live in areas of poor internet penetration.
People who spend a lot of time offline.
-
Splitting Video in frames
-
Facial Recognition
-
Generate face frames
-
Compiling video from face frames
Solution
200kb
1mb
Original Video
FaceCrop™ed video
Solution : Sample
2.5mb
500kb
Solution : Sample
Original Video
FaceCrop™ed video
8mb
2mb
Original Video
FaceCrop™ed video
Solution : Sample
python facecrop .py <youtube-url>
python facecrop .py path/to/video.mp4
Use Chats Bots to find Content on our platform
Use our Portal to upload new content
Solution : Technical details
Content consumption medium around educational videos
p2p video conferencing app the works best on low bandwidth
Exploring use cases in other domains like drone video compression.
Product timeline
June 2016
October 2016
December 2016
Improvements: Video stabalisation, noise removal
April 2016
Original video 9MB
Bugdet
$40,000
only
Predicted Hurdles
Video Stabilization
iPhone/Android App
3D face modelling
p2p video conf
Exploring Use Cases
3D weather data compression
Exploring Use Cases
Relaying Video on FM bandwidth
Exploring Use Cases
P2P video chatting
Team
Saurav Tomar
Pursuing bachelors degree from DTU (India)
Full stack hacker
Currently running a video streaming startup Chestream.com
Will work on core software development and hiring.
Jumana Karwa
Pursuing Masters Degree at UW
10 yrs of java dev experience
Profound project manager experience
Will work on business development and project management