Can you find a face in a HEVC bitstream?

10/30/2017
by   Saeed Ranjbar Alvar, et al.
0

Finding faces in images is one of the most important tasks in computer vision, with applications in biometrics, surveillance, human-computer interaction, and other areas. In our earlier work, we demonstrated that it is possible to tell whether or not an image contains a face by only examining the HEVC syntax, without fully reconstructing the image. In the present work we move further in this direction by showing how to localize faces in HEVC-coded images, without full reconstruction. We also demonstrate the benefits that such approach can have in privacy-friendly face localization.

READ FULL TEXT

page 2

page 3

page 4

research
09/14/2016

3D Face Reconstruction by Learning from Synthetic Data

Fast and robust three-dimensional reconstruction of facial geometric str...
research
08/06/2016

Spoofing 2D Face Detection: Machines See People Who Aren't There

Machine learning is increasingly used to make sense of the physical worl...
research
01/09/2021

Identifying Human Edited Images using a CNN

Most non-professional photo manipulations are not made using propriety s...
research
10/03/2019

Face Manifold: Manifold Learning for Synthetic Face Generation

Face is one of the most important things for communication with the worl...
research
04/27/2017

Deep Face Deblurring

Blind deblurring consists a long studied task, however the outcomes of g...
research
04/30/2021

Formalizing the Face Lattice of Polyhedra

Faces play a central role in the combinatorial and computational aspects...
research
09/20/2023

3D Face Reconstruction: the Road to Forensics

3D face reconstruction algorithms from images and videos are applied to ...

Please sign up or login with your details

Forgot password? Click here to reset