[Gzz-commits] manuscripts/Paper paper.tex

[Janne V. Kujala]

CVSROOT:        /cvsroot/gzz
Module name:    manuscripts
Changes by:     Janne V. Kujala <address@hidden>        03/03/20 10:32:25

Modified files:
        Paper          : paper.tex 

Log message:
        cleanup

CVSWeb URLs:
http://savannah.gnu.org/cgi-bin/viewcvs/gzz/manuscripts/Paper/paper.tex.diff?tr1=1.41&tr2=1.42&r1=text&r2=text

Patches:
Index: manuscripts/Paper/paper.tex
diff -u manuscripts/Paper/paper.tex:1.41 manuscripts/Paper/paper.tex:1.42
--- manuscripts/Paper/paper.tex:1.41    Thu Mar 20 09:16:54 2003
+++ manuscripts/Paper/paper.tex Thu Mar 20 10:32:25 2003
@@ -445,11 +445,6 @@
 
 %XXX: shorten by one half column 
 
-XXX: - visual discrimination experiments: \cite{julesz62visualpattern}
-
-XXX: simple models (filtering) can have good explanatory power
-on texture discrimination\cite{bergen88earlyvision}.
-
 In this section, we discuss the methods to generate unique
 background textures on an abstract level.
 
@@ -1125,11 +1120,7 @@
 we start from a fairly light background (>80 XXX).
 On a darker background, this approach would probably look silly.
 
-\subsection{Recognizability and memorizability}
-
-% XXX: shorten by half
-
-JVK
+\subsection{Texture perception}
 
 Psychophysical studies on texture perception have mostly concentrated
 on \emph{visual texture discrimination}\cite{julesz62visualpattern}, 
@@ -1172,7 +1163,26 @@
 
 In our application visual texture discrimination is not as
 much of an issue as memorizability and recognizability of
-previously seen textures.
+previously seen textures, because the textures are ... discriminable..
+
+
+There have been studies on 
+mapping texture appearance to an Euclidian texture space
+(see \cite{gurnsey01texturespace} and the references therein):
+in the reported experiments, three dimensions have been sufficient
+to explain most of the variation in the similarity judgements for
+artificial textures. 
+However, the texture stimuli have been somewhat simple 
+(no color, lack of frequency-band interaction, etc.).
+For some natural texture sets (see, e.g., \cite{rao96texturenaming}), 
+three dimensions have also been
+sufficient, but often semantic connections cause the
+similarity to be context-dependant, making it hard to assess the 
+dimensionality.
+% XXX: this is something we should experiment with our textures
+
+\subsection{Recognizability and memorizability}
+
 The textures created by our algorithm, 
 although repeating, are more like complete images 
 than the statistical microstructure studied in most texture perception work. 
@@ -1213,29 +1223,14 @@
 have shown that file popularity approximately follows Zipf's law
 (see, e.g. [xxxref]) so that a small number of documents accounts 
 for most of the use.
-Furthermore, because the texture appearance has no semantic connection 
-with the document, 
+
+Furthermore, because the texture appearance has no correlation
+with the document content, 
 the textures of any two important files are similar only by chance.
 
 %Our experience shows that at least the most recurring textures 
 %are not only recognized but can 
 %also easily be associated with the document content.
-
-XXX
-
-Mapping texture appearance to an Euclidian texture space
-(see \cite{gurnsey01texturespace} and the references therein):
-in the reported experiments, three dimensions have been sufficient
-to explain most of the variation in the similarity judgements for
-artificial textures. 
-However, the texture stimuli have been somewhat simple 
-(no color, lack of frequency-band interaction, etc.).
-For some natural texture sets (see, e.g., \cite{rao96texturenaming}), 
-three dimensions have also been
-sufficient, but often semantic connections cause the
-similarity to be context-dependant, making it hard to assess the 
-dimensionality.
-% XXX: this is something we should experiment with our textures
 
 XXX: refs?