z-logo
open-access-imgOpen Access
Decoder-Side Motion Estimation Assuming Temporally or Spatially Constant Motion
Author(s) -
Sven Klomp,
Marco Munderloh,
Jörn Östermann
Publication year - 2011
Publication title -
isrn signal processing
Language(s) - English
Resource type - Journals
eISSN - 2090-505X
pISSN - 2090-5041
DOI - 10.5402/2011/956372
Subject(s) - quarter pixel motion , motion estimation , motion compensation , computer science , motion vector , encoder , block matching algorithm , constant bitrate , motion field , motion interpolation , computer vision , data compression , interpolation (computer graphics) , algorithm , artificial intelligence , motion (physics) , mathematics , variable bitrate , bit rate , video processing , real time computing , video tracking , image (mathematics) , operating system
In current video coding standards, the encoder exploits temporal redundancies within the video sequence by performing block-based motion compensated prediction. However, the motion estimation is only performed at the encoder, and the motion vectors have to be coded explicitly into the bit stream. Recent research has shown that the compression efficiency can be improved by also estimating the motion at the decoder. This paper gives a detailed description of a decoder-side motion estimation architecture which assumes temporal constant motion and compares the proposed motion compensation algorithm with an alternative interpolation method. The overall rate reduction for this approach is almost 8% compared to H.264/MPEG-4 Part 10 (AVC). Furthermore, an extensive comparison with the assumption of spatial constant motion, as used in decoder-side motion vector derivation, is given. A new combined approach of both algorithms is proposed that leads to 13% bit rate reduction on average.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom