SaVE: sensor-assisted motion estimation for efficient h.264/AVC video encoding

  • Authors:

  • Xiaoming Chen;Zhendong Zhao;Ahmad Rahmati;Ye Wang;Lin Zhong

  • Affiliations:

  • School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;Department of Electrical & Computer Engineering, Rice University, Houston, TX, USA;School of Computing, National University of Singapore, Singapore;Department of Electrical & Computer Engineering, Rice University, Houston, TX, USA

  • Venue:
  • MM '09 Proceedings of the 17th ACM international conference on Multimedia
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Motion estimation is a key component of modern video encoding and is very compute-intensive. We present a novel Sensor-assisted Video Encoding (SaVE) method to reduce the computational complexity of motion estimation in H.264/AVC encoders, leveraging accelerometers and digital compasses that are increasingly available on mobile devices. Using these sensors, SaVE calculates the rotational movement of a camera and then infers the global motion in the camera image sensor; it subsequently employs the estimated global motion to simplify the state-of-the-art motion estimation algorithms, UMHS and EPZS used in H.264/AVC encoders. We have constructed a prototype of SaVE and report extensive evaluation of it. Our experimental results show that SaVE can reduce the computations of UMHS and EPZS algorithms by up to 27% and 18%, respectively, while achieving the same or better video quality.