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authorMichael Niedermayer <michaelni@gmx.at>2009-03-03 15:35:20 +0000
committerMichael Niedermayer <michaelni@gmx.at>2009-03-03 15:35:20 +0000
commitdc7d978a054b851113cfb420da6866cb4c1b0b64 (patch)
treed1e4a705910e4e2ce524bbea43da18df750844db /doc/viterbi.txt
parenta0f8005079e4c90e9c2979770274c46135c0cc4a (diff)
Quick description of the Viterbi algorithm so I do not have to repeat it
over and over again on the ML. Originally committed as revision 17772 to svn://svn.ffmpeg.org/ffmpeg/trunk
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+This is a quick description of the viterbi aka dynamic programing
+algorthm.
+
+Its reason for existence is that wikipedia has become very poor on
+describing algorithms in a way that makes it useable for understanding
+them or anything else actually. It tends now to describe the very same
+algorithm under 50 different names and pages with few understandable
+by even people who fully understand the algorithm and the theory behind.
+
+Problem description: (that is what it can solve)
+assume we have a 2d table, or you could call it a graph or matrix if you
+prefer
+
+ O O O O O O O
+
+ O O O O O O O
+
+ O O O O O O O
+
+ O O O O O O O
+
+
+That table has edges connecting points from each column to the next column
+and each edge has a score like: (only some edge and scores shown to keep it
+readable)
+
+
+ O--5--O-----O-----O-----O-----O
+ 2 / 7 / \ / \ / \ /
+ \ / \ / \ / \ / \ /
+ O7-/--O--/--O--/--O--/--O--/--O
+ \/ \/ 1/ \/ \/ \/ \/ \/ \/ \/
+ /\ /\ 2\ /\ /\ /\ /\ /\ /\ /\
+ O3-/--O--/--O--/--O--/--O--/--O
+ / \ / \ / \ / \ / \
+ 1 \ 9 \ / \ / \ / \
+ O--2--O--1--O--5--O--3--O--8--O
+
+
+
+Our goal is to find a path from left to right through it which
+minimizes the sum of the score of all edges.
+(and of course left/right is just a convention here it could be top down too)
+Similarly the minimum could be the maximum by just fliping the sign,
+Example of a path with scores:
+
+ O O O O O O O
+
+>---O. O O .O-2-O O O
+ 5. .7 .
+ O O-1-O O O 8 O O
+ .
+ O O O O O O-1-O---> (sum here is 24)
+
+
+The viterbi algorthm now solves this simply column by column
+For the previous column each point has a best path and a associated
+score:
+
+ O-----5 O
+ \
+ \
+ O \ 1 O
+ \/
+ /\
+ O / 2 O
+ /
+ /
+ O-----2 O
+
+
+To move one column forward we just need to find the best path and associated
+scores for the next column
+here are some edges we could choose from:
+
+
+ O-----5--3--O
+ \ \8
+ \ \
+ O \ 1--9--O
+ \/ \3
+ /\ \
+ O / 2--1--O
+ / \2
+ / \
+ O-----2--4--O
+
+Finding the new best pathes and scores for each point of our new column is
+trivial given we know the previous column best pathes and scores:
+
+ O-----0-----8
+ \
+ \
+ O \ 0----10
+ \/
+ /\
+ O / 0-----3
+ / \
+ / \
+ O 0 4
+
+
+the viterbi algorthm continues exactly like this column for column until the
+end and then just picks the path with the best score (above that would be the
+one with score 3)
+
+
+Author: Michael niedermayer
+Copyright LGPL
+