Open AccessThreshold‐Based Camera Motion Characterization of MPEG Video
Author(s) -
Kim JaeGon,
Chang Hyun Sung,
Kim Jinwoong,
Kim HyungMyung
Publication year - 2004
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.04.0203.0009
Subject(s) - computer vision , robustness (evolution) , computer science , artificial intelligence , motion estimation , quarter pixel motion , block matching algorithm , motion (physics) , motion compensation , motion analysis , scheme (mathematics) , computer graphics (images) , video processing , mathematics , video tracking , mathematical analysis , biochemistry , chemistry , gene
We propose an efficient scheme for camera motion characterization in MPEG‐compressed video. The proposed scheme detects six types of basic camera motions through threshold‐based qualitative interpretation, in which fixed thresholds are applied to motion model parameters estimated from MPEG motion vectors (MVs). The efficiency and robustness of the scheme are validated by the experiment with real compressed video sequences.