ISO/IEC 23008-10:2015/Amd 1:2021
(Amendment)Information technology — High efficiency coding and media delivery in heterogeneous environments — Part 10: MPEG media transport forward error correction (FEC) codes — Amendment 1: Window-based FEC code
Information technology — High efficiency coding and media delivery in heterogeneous environments — Part 10: MPEG media transport forward error correction (FEC) codes — Amendment 1: Window-based FEC code
Technologies de l'information — Codage à haute efficacité et livraison des medias dans des environnements hétérogènes — Partie 10: Codes de correction d'erreur anticipée pour le transport des medias MPEG — Amendement 1
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Standards Content (Sample)
INTERNATIONAL ISO/IEC
STANDARD 23008-10
First edition
2015-04-15
AMENDMENT 1
2021-12
Information technology — High
efficiency coding and media delivery
in heterogeneous environments —
Part 10:
MPEG media transport forward error
correction (FEC) codes
AMENDMENT 1: Window-based FEC
code
Technologies de l'information — Codage à haute efficacité et livraison
des medias dans des environnements hétérogènes —
Partie 10: Codes de correction d'erreur anticipée pour le transport des
medias MPEG
AMENDEMENT 1
Reference number
ISO/IEC 23008-10:2015/Amd. 1:2021(E)
© ISO/IEC 2021
ISO/IEC 23008-10:2015/Amd. 1:2021(E)
© ISO/IEC 2021
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ii
© ISO/IEC 2021 – All rights reserved
ISO/IEC 23008-10:2015/Amd. 1:2021(E)
Foreword
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This document was prepared by Joint Technical Committee ISO/IEC JTC 1, Information technology,
Subcommittee SC 29, Coding of audio, picture, multimedia and hypermedia information.
A list of all parts in the ISO/IEC 23008 series can be found on the ISO website and IEC websites.
Any feedback or questions on this document should be directed to the user’s national standards
body. A complete listing of these bodies can be found at www.iso.org/members.html and
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iii
© ISO/IEC 2021 – All rights reserved
ISO/IEC 23008-10:2015/Amd. 1:2021(E)
Information technology — High efficiency coding and
media delivery in heterogeneous environments —
Part 10:
MPEG media transport forward error correction (FEC)
codes
AMENDMENT 1: Window-based FEC code
Clause 5, Table 1
Replace the first paragraph and Table 1 with the following:
Table 1 specifies the code points for the FEC code algorithms specified in this document. The FEC code
algorithms themselves are specified in Clauses 6 through 11.
Table 1 — FEC code algorithms and its code point
Code point FEC code algorithm
0 Reserved for ISO/IEC use
1 RS code (Clause 6)
2 S_LDPC code (Clause 7)
3 6330 code (subclause 8.2)
4 RaptorQ LA code (subclause 8.3)
5 FireFort-LDGM code (Clause 9)
6 FEC code algorithm in SMPTE 2022-1 (Clause 10)
7 RaptorQ AD code (Clause 11)
8 ~ 255 Reserved for ISO/IEC use
Clause 10
At the end of Clause 10, add a new Clause 11 as follows:
11 Specification for RaptorQ AD code
11.1 General
This clause specifies FEC code point 7, RaptorQ AD code.
The RaptorQ AD code extends the 6330 code to support the adaptive FEC protection in one layer as
defined in ISO/IEC 23008-1.
According to the different priorities defined in the DU header, the source symbol can be divided into
different classes. All the classified symbols can be protected by one FEC coding matrix and generate
source symbols and repair symbols in one stream.
© ISO/IEC 2021 – All rights reserved
ISO/IEC 23008-10:2015/Amd. 1:2021(E)
11.2 Encoding method
Step 1: Each block is divided into classes of input symbols according to different priorities defined in
the DU header. The numbers of each class are D , D , D , . . . , such that the first input D symbols form
1 2 3 1
the first class, the next D input symbols form the second class, and it can be assumed that the
importance of classes decreases with the class index.
Step 2: According to the source symbols, Matrix A can be designed to generate the intermediate
symbols. Figure 10 shows an example Matrix A using source symbols with two classes.
Figure 10 — Structure of Matrix A
The G_p consists of ‘G_LDPC,1’, ‘I_S’, ‘G_LDPC,2’, ‘G_HDPC’ and ‘I_H’. G_ENC and G_ENC are an LT-code
1 2
matrix. According to Matrix A, the intermediate symbols are as follows:
−1
C A 0 D
1 1
1
=
−1
C 0
2 0 A
2
D
For the classification of more than 2 source symbols, Matrix A can be designed to generate the
intermediate symbols as follows:
Gp_ 00…
GE_ NC 00…
00Gp_ …
A= 00GE_ NC …
…… ……
00 … Gp_
l
00 … GE_ NC
l
© ISO/IEC 2021 – All rights reserved
ISO/IEC 23008-10:2015/Amd. 1:2021(E)
C D
1 −1 1
A 00…
C
−1
00A …
2
… = D
…… ……
C …
l
−1
…… … A
l
D
l
Step 3: As a result of overlapping windows, the probability of success in decoding intermediate symbols
of more important source symbols increases, so the probability of recovering the source symbols will
increase. The second encoding step can be shown as follows. If the channel is poor, the lines of GE_ NC
and GE_ NC can be reduced, the lines of GE_ NC can be increased to increase the redundancy of
21 11
more imp
...
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