Detail výsledku
Concept of Variation Detector Used in Video Signal Compression Domain
Hanus Stanislav, prof. Ing., CSc., UREL (FEKT)
This paper is concerned with a proportion similarity of the substance in images. In particular, we investigate the possibility of finding a cut position in a video sequence. The cut position detector is based on the data comparison when for two successive frames of the video sequence, several parameters are being evaluated. In this contribution we deal only with parameters in time domain, such as mean square and mean absolute error, image fidelity, normalized cross-correlation, Czekanowski distance and normalized distance. All functions are tested with a video sequence containing two cuts. Finally, a qualitative comparison of proposed methods is performed. For the cut detection in time domain is sufficient to use only two parameters: mean absolute error and normalized distance. Besides, for the color input data, the detector may scan only the luminance signal Y of YCbCr representation.
Video signal coding, cut detection, interframe coding, 3D DCT, video cube, transparency
@article{BUT42165,
author="Tomáš {Frýza} and Stanislav {Hanus}",
title="Concept of Variation Detector Used in Video Signal Compression Domain",
journal="WSEAS Transactions on Circuits",
year="2004",
volume="3",
number="9",
pages="5",
issn="1109-2734"
}