You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
The main issue this paper addresses is to obtain the information sources characterising the video sequences represented in
DWT domain and to discuss their relevance for practical applications. From the statistical point of view, this means to
establish whether the DWT coefficients can be approximated by random variables and, if so, to compute the
corresponding probability density functions (pdf). The corpus considered in experiments is composed of 10 video
sequences, belonging to different movies, each of them about 25 minutes long, DivX coded at a very low rate.
The alert did not successfully save. Please try again later.
O. Dumitru, M. Mitrea, F. Prêteux, "Video modelling in the DWT domain," Proc. SPIE 7000, Optical and Digital Image Processing, 70000P (25 April 2008); https://doi.org/10.1117/12.781854