  We propose a novel end-to-end solution that performs a Hierarchical Layout
Analysis of screenshots and document images on resource constrained devices
like mobilephones. Our approach segments entities like Grid, Image, Text and
Icon blocks occurring in a screenshot. We provide an option for smart editing
by auto highlighting these entities for saving or sharing. Further this
multi-level layout analysis of screenshots has many use cases including content
extraction, keyword-based image search, style transfer, etc. We have addressed
the limitations of known baseline approaches, supported a wide variety of
semantically complex screenshots, and developed an approach which is highly
optimized for on-device deployment. In addition, we present a novel weighted
NMS technique for filtering object proposals. We achieve an average precision
of about 0.95 with a latency of around 200ms on Samsung Galaxy S10 Device for a
screenshot of 1080p resolution. The solution pipeline is already commercialized
in Samsung Device applications i.e. Samsung Capture, Smart Crop, My Filter in
Camera Application, Bixby Touch.
