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		<title>Conveying Semantics through Visual Metaphor - Versionsgeschichte</title>
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		<id>http://de.evo-art.org/index.php?title=Conveying_Semantics_through_Visual_Metaphor&amp;diff=32659&amp;oldid=prev</id>
		<title>Gubachelier am 14. Juni 2016 um 11:26 Uhr</title>
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				<updated>2016-06-14T11:26:38Z</updated>
		
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				&lt;td colspan=&#039;2&#039; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Nächstältere Version&lt;/td&gt;
				&lt;td colspan=&#039;2&#039; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Version vom 14. Juni 2016, 11:26 Uhr&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l8&quot; &gt;Zeile 8:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Zeile 8:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Abstract ==&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Abstract ==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;In the field of visual art, metaphor is a way to communicate meaning to the viewer. We present a computational system for communicating visual metaphor that can identify adjectives for describing an image based on a low-level visual feature representation of the image. We show that the system can use this visual-linguistic association to render source images that convey the meaning of adjectives in a way consistent with human understanding. Our conclusions are based on a detailed analysis of how the system&amp;#039;s artifacts cluster, how these clusters correspond to the semantic relationships of adjectives as documented in WordNet, and how these clusters correspond to human opinion.&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Extended Abstract ==&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Extended Abstract ==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Gubachelier</name></author>	</entry>

	<entry>
		<id>http://de.evo-art.org/index.php?title=Conveying_Semantics_through_Visual_Metaphor&amp;diff=32658&amp;oldid=prev</id>
		<title>Gubachelier: Die Seite wurde neu angelegt: „  == Referenz ==  Derrall Heath, David Norton, Dan Ventura: Conveying Semantics through Visual Metaphor. ACM Transactions on Intelligent Systems and Technology…“</title>
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				<updated>2016-06-14T11:25:23Z</updated>
		
		<summary type="html">&lt;p&gt;Die Seite wurde neu angelegt: „  == Referenz ==  Derrall Heath, David Norton, Dan Ventura: Conveying Semantics through Visual Metaphor. ACM Transactions on Intelligent Systems and Technology…“&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Neue Seite&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
== Referenz == &lt;br /&gt;
Derrall Heath, David Norton, Dan Ventura: Conveying Semantics through Visual Metaphor. ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue on Linking Social Granularity and Functions: Volume 5 Issue 2, April 2014, 31:1--31:17. &lt;br /&gt;
&lt;br /&gt;
== DOI ==&lt;br /&gt;
http://dx.doi.org/10.1145/2589483 &lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
== Extended Abstract ==&lt;br /&gt;
&lt;br /&gt;
== Bibtex == &lt;br /&gt;
@article{Heath:2014:CST:2611448.2589483,&lt;br /&gt;
 author = {Heath, Derrall and Norton, David and Ventura, Dan},&lt;br /&gt;
 title = {Conveying Semantics Through Visual Metaphor},&lt;br /&gt;
 journal = {ACM Trans. Intell. Syst. Technol.},&lt;br /&gt;
 issue_date = {April 2014},&lt;br /&gt;
 volume = {5},&lt;br /&gt;
 number = {2},&lt;br /&gt;
 month = apr,&lt;br /&gt;
 year = {2014},&lt;br /&gt;
 issn = {2157-6904},&lt;br /&gt;
 pages = {31:1--31:17},&lt;br /&gt;
 articleno = {31},&lt;br /&gt;
 numpages = {17},&lt;br /&gt;
 url = {http://doi.acm.org/10.1145/2589483 http://axon.cs.byu.edu/papers/heath2012acmtist http://de.evo-art.org/index.php?title=Conveying_Semantics_through_Visual_Metaphor },&lt;br /&gt;
 doi = {10.1145/2589483},&lt;br /&gt;
 acmid = {2589483},&lt;br /&gt;
 publisher = {ACM},&lt;br /&gt;
 address = {New York, NY, USA},&lt;br /&gt;
 keywords = {Visual metaphor, clustering, evolutionary art, neural networks},&lt;br /&gt;
} &lt;br /&gt;
&lt;br /&gt;
== Used References ==  	&lt;br /&gt;
1 Shumeet Baluja, Dean Pomerleau, and Todd Jochem. 1994. Towards automated artificial evolution for computer-generated images. Connect. Sci. 6, 325--354.&lt;br /&gt;
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2 Blain Brown. 2011. Cinematography: Theory and Practice. Focal Press, Chapter 5, 67--75.&lt;br /&gt;
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3 Ryszard S. Choras. 2007. Image feature extraction techniques and their applications for CBIR and biometrics systems. Int. J. Biol. Biomed. Eng. 1, 6--16.&lt;br /&gt;
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4 Simon Colton, Jeremy Gow, Pedro Torres, and Paul Cairns. 2010. Experiments in objet trouvé browsing. In Proceedings of the 1&amp;lt;sup&amp;gt;st&amp;lt;/sup&amp;gt; International Conference on Computational Creativity. 238--247.&lt;br /&gt;
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5 Ritendra Datta , Dhiraj Joshi , Jia Li , James Z. Wang, Studying aesthetics in photographic images using a computational approach, Proceedings of the 9th European conference on Computer Vision, May 07-13, 2006, Graz, Austria  http://dx.doi.org/10.1007/11744078_23&lt;br /&gt;
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6 Steve Dipaola , Liane Gabora, Incorporating characteristics of human creativity into an evolutionary art algorithm, Genetic Programming and Evolvable Machines, v.10 n.2, p.97-110, June 2009  http://dx.doi.org/10.1007/s10710-008-9074-x&lt;br /&gt;
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7 Christiane Fellbaum, Ed. 1998. WordNet: An Electronic Lexical Database. The MIT Press.&lt;br /&gt;
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8 Charles Forceville. 1996. Pictorial Metaphor in Advertising. Routledge, New York.&lt;br /&gt;
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9 John S. Gero. 1996. Creativity, emergence, and evolution in design. Knowl. Based Syst. 9, 435--448.&lt;br /&gt;
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10 T. Gevers , A. W.M. Smeulders, PicToSeek: combining color and shape invariant features for image retrieval, IEEE Transactions on Image Processing, v.9 n.1, p.102-119, January 2000  http://dx.doi.org/10.1109/83.817602&lt;br /&gt;
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11 Gary Greenfield. 2002. Color dependent computational aesthetics for evolving expressions. In Bridges: Mathematical Connections in Art, Music, and Science; Conference Proceedings, Reza Sarhangi, Ed., Central Plains Book Manufacturing, Winfield, KS, 9--16.&lt;br /&gt;
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12 Gary Greenfield. 2007. Co-evolutionary methods in evolutionary art. In The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music, Juan Romero and Penousal Machado, Eds., Springer, Berlin, 357--380.&lt;br /&gt;
	&lt;br /&gt;
13 Mark Hall , Eibe Frank , Geoffrey Holmes , Bernhard Pfahringer , Peter Reutemann , Ian H. Witten, The WEKA data mining software: an update, ACM SIGKDD Explorations Newsletter, v.11 n.1, June 2009  http://doi.acm.org/10.1145/1656274.1656278&lt;br /&gt;
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14 Stuart Kaplan. 2005. Visual metaphors in print advertising for fashion products. In Handbook of Visual Communication: Theory, Methods, and Media, Ken Smith, Sandra Moriarty, Gretchen Barbatsis, and Keith Kenney, Eds., Lawrence Erlbaum Associates, Chapter 11, 167--177.&lt;br /&gt;
	&lt;br /&gt;
15 Irwin King , Cheuk Hang Ng , Ka Cheung Sia, Distributed content-based visual information retrieval system on peer-to-peer networks, ACM Transactions on Information Systems (TOIS), v.22 n.3, p.477-501, July 2004 http://doi.acm.org/10.1145/1010614.1010619&lt;br /&gt;
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16 Congcong Li and Tsuhan Chen. 2009. Aesthetic visual quality assessment of paintings. IEEE J. Select. Topics Sig. Process. 3, 236--252.&lt;br /&gt;
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17 Penousal Machado , Amílcar Cardoso, All the Truth About NEvAr, Applied Intelligence, v.16 n.2, p.101-118, March-April 2002  http://dx.doi.org/10.1023/A:1013662402341&lt;br /&gt;
  	&lt;br /&gt;
18 David Norton, Derrall Heath, and Dan Ventura. 2010. Establishing appreciation in a creative system. In Proceedings of the 1&amp;lt;sup&amp;gt;st&amp;lt;/sup&amp;gt; International Conference on Computational Creativity. 26--35.&lt;br /&gt;
  	&lt;br /&gt;
19 David Norton, Derrall Heath, and Dan Ventura. 2011. Autonomously creating quality images. In Proceedings of the 2&amp;lt;sup&amp;gt;nd&amp;lt;/sup&amp;gt; International Conference on Computational Creativity. 10--15.&lt;br /&gt;
	&lt;br /&gt;
20 David Oranchak, Evolutionary synthesis of photographic artwork using human fitness function derived from web-based social networks, Proceedings of the 9th annual conference on Genetic and evolutionary computation, July 07-11, 2007, London, England  http://doi.acm.org/10.1145/1276958.1277399&lt;br /&gt;
  	&lt;br /&gt;
21 Steven Rooke, Eons of genetically evolved algorithmic images, Creative evolutionary systems, Morgan Kaufmann Publishers Inc., San Francisco, CA, 2001&lt;br /&gt;
  	&lt;br /&gt;
22 Jimmy Secretan , Nicholas Beato , David B. D&amp;#039;Ambrosio , Adelein Rodriguez , Adam Campbell , Jeremiah T. Folsom-Kovarik , Kenneth O. Stanley, Picbreeder: A case study in collaborative evolutionary exploration of design space, Evolutionary Computation, v.19 n.3, p.373-403, Fall 2011  http://dx.doi.org/10.1162/EVCO_a_00030&lt;br /&gt;
	&lt;br /&gt;
23 Karl Sims, Artificial evolution for computer graphics, ACM SIGGRAPH Computer Graphics, v.25 n.4, p.319-328, July 1991 http://doi.acm.org/10.1145/127719.122752&lt;br /&gt;
  	&lt;br /&gt;
24 Stephen Todd , William Latham, Evolutionary Art and Computers, Academic Press, Inc., Orlando, FL, 1994 http://dl.acm.org/citation.cfm?id=561831&amp;amp;CFID=558819604&amp;amp;CFTOKEN=68186175&lt;br /&gt;
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25 Grigorios Tsoumakas and Ioannis Katakis. 2007. Multi-label classification: An overview. Int. J. Data Warehousing Mining 3, 3, 1--13.&lt;br /&gt;
  	&lt;br /&gt;
26 Tony Veale , Yanfen Hao, Comprehending and generating apt metaphors: a web-driven, case-based approach to figurative language, Proceedings of the 22nd national conference on Artificial intelligence, p.1471-1476, July 22-26, 2007, Vancouver, British Columbia, Canada http://dl.acm.org/citation.cfm?id=1619881&amp;amp;CFID=558819604&amp;amp;CFTOKEN=68186175&lt;br /&gt;
  	&lt;br /&gt;
27 Tony Veale and Guofu Li. 1991. Creative introspection and knowledge acquisition: Learning about the world through introspective questions and exploratory metaphors. In Proceedings of the 25&amp;lt;sup&amp;gt;th&amp;lt;/sup&amp;gt; AAAI Conference on Artificial Intelligence.&lt;br /&gt;
  	&lt;br /&gt;
28 Wei-Ning Wang and Qianhua He. 2008. A survey on emotional semantic image retrieval. In Proceedings of the International Conference on Image Processing. 117--120.&lt;br /&gt;
  	&lt;br /&gt;
29 Wei-Ning Wang, Ying-Lin Yu, and Sheng-Ming Jiang. 2006. Image retrieval by emotional semantics: A study of emotional space and feature extraction. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics 4, 3534--3539. &lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
&lt;br /&gt;
=== Full Text === &lt;br /&gt;
http://axon.cs.byu.edu/papers/heath2012acmtist&lt;br /&gt;
&lt;br /&gt;
[[internal file]] &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Sonstige Links ===&lt;/div&gt;</summary>
		<author><name>Gubachelier</name></author>	</entry>

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