A study on motion compensated prediction in DCT domain with multiple mode selection

Kazuhisa Yamagisi*, Jiro Katto, Yasuhiko Yasuda

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper, we propose a motion vector search algorithm that employs the Sum of Absolute Difference (SAD) minimization in DCT domain as a distortion measure. In addition, block based motion estimation is carried out with multiple modes in this frequency domain, and a mode is selected according to the Lagrangian cost function [1, 2, 3]. Four modes are designed. The first two modes are a mode with 1 motion vector (INTER1V) and a mode with 4 motion vectors (INTER4V) per macroblock that are similar to the H.263 [4]. The last two modes use 4 motion vectors per macroblock (INTER1V+) or per block (INTER4V+), where the 8×8 DCT coefficients are firstly separated into 4 groups and a motion vector is independently assigned to each group. The average SNR (Signal to Noise Ratio) gains between 0.3 and 1.0dB are obtained for tested sequences when compared with TMN. Our proposal method provides true motion vectors for low frequency and minimizes distortion for higher frequency. Therefore our proposed method also reduces subjective visual degradation.

Original languageEnglish
Title of host publicationPicture Coding Symposium
Number of pages5
Publication statusPublished - 2003 Dec 9
EventPicture Coding Symposium - Saint Malo, France
Duration: 2003 Apr 232003 Apr 25

Publication series

NamePicture Coding Symposium


ConferencePicture Coding Symposium
CitySaint Malo

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'A study on motion compensated prediction in DCT domain with multiple mode selection'. Together they form a unique fingerprint.

Cite this