Simone Milani's Home page

If you are interested in some software solutions, video sequences, testbeds adopted in the papers of the publications page, e-mail me and I will provide you (if it is possible) with the required material.

In this page, you will find some software tools related to some of the published articles. The software tools reported here are provided for dissemination purposes. Most of the MATLAB scripts are not intended to provide an optimized code, but they aim at providing a more accurate explanation about the algorithms described in the publication section. The complexity tests reported in the paper were performed using optimized code. All the solutions reported here are protected by GNU Public License (GPL).

All the programs are free software: you can redistribute them and/or modify them under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
These programs is distributed in the hope that they will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with the programs. If not, see http://www.gnu.org/licenses/.
All the computer programs and software are supplied with the explicit understanding that they are to be used for educational purposes only. It is expressly prohibited to use the software for any commercial purposes. The user may make one backup copy.
DISCLAIMER OF WARRANTY
ALL THE COMPUTER PROGRAMS AND SOFTWARE ARE PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. WE MAKE NO WARRANTIES, EXPRESS OR IMPLIED, THAT THEY ARE FREE OF ERROR, OR ARE CONSISTENT WITH ANY PARTICULAR STANDARD OF MERCHANTABILITY, OR THAT THEY WILL MEET YOUR REQUIREMENTS FOR ANY PARTICULAR APPLICATION. THEY SHOULD NOT BE RELIED ON FOR SOLVING A PROBLEM WHOSE INCORRECT SOLUTION COULD RESULT IN INJURY TO A PERSON OR LOSS OF PROPERTY. IF YOU DO USE THEM IN SUCH A MANNER, IT IS AT YOUR OWN RISK. THE AUTHOR AND PUBLISHER DISCLAIM ALL LIABILITY FOR DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES RESULTING FROM YOUR USE OF THE PROGRAMS.

General Stuff

• Loss patterns generated using Gilbert model (Lb: burst length PL: loss probability)
  • Lb=2: PL=0.01, PL=0.02, PL=0.03, PL=0.04, PL=0.05, PL=0.06, PL=0.07, PL=0.08, PL=0.09, PL=0.10, PL=0.15, PL=0.20, PL=0.25,
  • Lb=4: PL=0.01, PL=0.02, PL=0.03, PL=0.04, PL=0.05, PL=0.06, PL=0.07, PL=0.08, PL=0.09, PL=0.10, PL=0.15, PL=0.20, PL=0.25,
  • Lb=6: PL=0.01, PL=0.02, PL=0.03, PL=0.04, PL=0.05, PL=0.06, PL=0.07, PL=0.08, PL=0.09, PL=0.10, PL=0.15, PL=0.20, PL=0.25,

Codecs

• A Depth Map Compression Based on Progressive Silhouettes : MATLAB® files for the codec described in the IEEE SPL paper
  S. Milani, G.Calvagno, "Multiple Description Distributed Video Coding Using Redundant Slices and Lossy Syndromes," IEEE Signal Processing Letters, Vol. 17, no. 1, pp. 51-54, Jan 2010, doi: 10.1109/LSP.2009.2031748.
  Download zip archive
• Multiple Description Distributed Video Coding - Exe files for Linux to come.

Video sequences

• DIBR (video + depth) of sequence "Door_arriving"
  "Door_arriving" Texture file (format yuv 4:2:0 8 bit/sample) — "Door_arriving" Depth file (format yuv 4:2:0 8 bit/sample)