Dynamic texture segmentation using linear predictive coding
Özet
Dynamic textures are image sequences which contain spatial-varying and time varying phenomenon. There are many examples of visual patterns in the real-world scenes that are called dynamic textures. In this paper, we propose a novel analytical approach for segmentation of dynamic textures. The key idea is to exploit the properties of both frame texture and motion. In our approach, we employ linear predictive coding to extract special features from sequences of mixtures of dynamic texture. © 2011 IEEE.
Anahtar kelimeler
Atıf için künye
Forouzanfar, N., Ebrahimnezhad, H., & Ebrahımı, A. (2011). Dynamic texture segmentation using linear predictive coding. 2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011, Tehran. https://doi.org/10.1109/iranianmvip.2011.6121592
BibTeX
@inproceedings{forouzanfar2011-172520,
author = {Forouzanfar, Nima and Ebrahimnezhad, Hossein and Ebrahımı, Afshın},
title = {Dynamic texture segmentation using linear predictive coding},
booktitle = {2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011},
address = {Tehran},
year = {2011},
doi = {10.1109/iranianmvip.2011.6121592},
url = {https://akademik.atauni.edu.tr/yayinlar/172520-dynamic-texture-segmentation-using-linear-predictive-coding}
}