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	<title>SemanticMetadata.net &#187; Retrieval</title>
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		<title>Lire and Lire Demo v 0.9 released</title>
		<link>http://www.semanticmetadata.net/2011/10/20/lire-and-lire-demo-v-0-9-released/</link>
		<comments>http://www.semanticmetadata.net/2011/10/20/lire-and-lire-demo-v-0-9-released/#comments</comments>
		<pubDate>Thu, 20 Oct 2011 11:37:23 +0000</pubDate>
		<dc:creator>Mathias Lux</dc:creator>
				<category><![CDATA[Dev]]></category>
		<category><![CDATA[General]]></category>
		<category><![CDATA[Java]]></category>
		<category><![CDATA[Multimedia]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Development]]></category>
		<category><![CDATA[Lire]]></category>
		<category><![CDATA[LireDemo]]></category>
		<category><![CDATA[Release]]></category>
		<category><![CDATA[Retrieval]]></category>

		<guid isPermaLink="false">http://www.semanticmetadata.net/?p=780</guid>
		<description><![CDATA[I just released Lire and Lire Demo in version 0.9 on sourceforge.net. Basically it&#8217;s the alpha version with additional speed and stability enhancements for bag of visual words (BoVW) indexing. While this has already been possible in earlier versions I re-furbished vocabulary creation (k-means clustering) and indexing to support up to 4 CPU cores. I [...]]]></description>
			<content:encoded><![CDATA[<p>I just released Lire and Lire Demo in version 0.9 on sourceforge.net. Basically it&#8217;s the alpha version with additional speed and stability enhancements for <em>bag of visual words (BoVW)</em> indexing. While this has already been possible in earlier versions I re-furbished vocabulary creation (k-means clustering) and indexing to support up to 4 CPU cores. I also integrated a function to add documents to BoVW indexes incrementally. So a list of major changes since Lire 0.8 includes</p>
<ul>
<li>Major speed-up due to change and re-write of indexing strategies for local features</li>
<li>Auto color correlation and color histogram features improved</li>
<li>Re-ranking filter based on global features and LSA</li>
<li>Parallel <em>bag of visual words</em> indexing and search supporting SURF and SIFT including incremental index updates (see also in the <a href="http://www.semanticmetadata.net/wiki/doku.php?id=lire:bovw">wiki</a>)</li>
<li>Added functionality to Lire Demo including support for new Lire features and a new result list view</li>
</ul>
<p>Download and try:</p>
<ul>
<li><a href="http://sourceforge.net/projects/caliph-emir/files/Lire/Lire%200.9/Lire-0.9.zip/download">Source and binaries</a> (or as <a href="http://sourceforge.net/projects/caliph-emir/files/Lire/Lire%200.9/Lire-0.9.tar.bz2/download">tar.bz2</a>)</li>
<li><a href="http://sourceforge.net/projects/caliph-emir/files/Lire/Lire%200.9/LireDemo_v0.9.zip/download">Lire Demo</a></li>
</ul>
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		</item>
		<item>
		<title>Final Call for Papers: Special Issue on Searching Speech</title>
		<link>http://www.semanticmetadata.net/2011/02/07/final-call-for-papers-special-issue-on-searching-speech/</link>
		<comments>http://www.semanticmetadata.net/2011/02/07/final-call-for-papers-special-issue-on-searching-speech/#comments</comments>
		<pubDate>Mon, 07 Feb 2011 15:00:20 +0000</pubDate>
		<dc:creator>Mathias Lux</dc:creator>
				<category><![CDATA[CfP]]></category>
		<category><![CDATA[Conference]]></category>
		<category><![CDATA[Multimedia]]></category>
		<category><![CDATA[Retrieval]]></category>
		<category><![CDATA[search]]></category>
		<category><![CDATA[special issue]]></category>

		<guid isPermaLink="false">http://www.semanticmetadata.net/?p=750</guid>
		<description><![CDATA[ACM Transactions on Information Systems is soliciting contributions to a special issue on the topic of &#8220;Searching Speech&#8221;. The special issue will be devoted to algorithms and systems that use speech recognition and other types of spoken audio processing techniques to retrieve information, and, in particular, to provide access to spoken audio content or multimedia [...]]]></description>
			<content:encoded><![CDATA[<p>ACM Transactions on Information Systems is soliciting contributions to a special issue on the topic of &#8220;Searching Speech&#8221;. The special issue will be devoted to algorithms and systems that use speech recognition and other types of spoken audio processing techniques to retrieve information, and, in particular, to provide access to spoken audio content or multimedia content with a speech track.</p>
<p>Submission Deadline: 1 March 2011</p>
<p>The field of spoken content indexing and retrieval has a long history dating back to the development of the first broadcast news retrieval systems in the 1990s. More recently, however, work on searching speech has been moving towards spoken audio that is produced spontaneously and in conversational settings. In contrast to the planned speech that is typical for the broadcast news domain, spontaneous, conversational speech is characterized by high variability and the lack of inherent structure. Domains in which researchers face such challenges include: lectures, meetings, interviews, debates, conversational broadcast (e.g., talk-shows), podcasts, call center recordings, cultural heritage archives, social video on the Web, spoken natural language queries and the Spoken Web.<br />
We invite the submission of papers that describe research in the following areas:</p>
<ul>
<li>Integration of information retrieval algorithms with speech recognition and audio analysis techniques</li>
<li>Interfaces and techniques to improve user interaction with speech collections</li>
<li>Indexing diverse, large scale collections</li>
<li>Search effectiveness and efficiency, including exploitation of additional information sources</li>
</ul>
<p>For more information see <a href="http://tois.acm.org/announcement.html">http://tois.acm.org/announcement.html</a></p>
]]></content:encoded>
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		<slash:comments>2</slash:comments>
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		<item>
		<title>DEXA-Workshop on Text-Based Information Retrieval (TIR&#8217;10)</title>
		<link>http://www.semanticmetadata.net/2010/03/24/dexa-workshop-on-text-based-information-retrieval-tir10/</link>
		<comments>http://www.semanticmetadata.net/2010/03/24/dexa-workshop-on-text-based-information-retrieval-tir10/#comments</comments>
		<pubDate>Wed, 24 Mar 2010 12:00:38 +0000</pubDate>
		<dc:creator>Mathias Lux</dc:creator>
				<category><![CDATA[General]]></category>
		<category><![CDATA[CfP]]></category>
		<category><![CDATA[Retrieval]]></category>
		<category><![CDATA[tir]]></category>

		<guid isPermaLink="false">http://www.semanticmetadata.net/?p=689</guid>
		<description><![CDATA[TIR&#8217;10 &#8211; 7th International Workshop on Text-Based Information Retrieval In conjunction with the DEXA 2010 21st International Conference on Database and Expert Systems Applications Bilbao, Spain, August 30 &#8211; September 3 http://www.tir.webis.de About this Workshop Intelligent algorithms for mining and retrieval are the key technology to cope with the information need challenges in our media-centered [...]]]></description>
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<div><a name="5382958335896540212"></a></p>
<h3><span style="font-weight: normal; font-size: 13px;">TIR&#8217;10 &#8211; 7th International Workshop on Text-Based Information Retrieval</span></h3>
<div>
<div>In conjunction with the DEXA 2010</div>
<p>21st International Conference on Database and Expert Systems Applications</p>
<p>Bilbao, Spain, August 30 &#8211; September 3<br />
<a href="http://www.tir.webis.de/">http://www.tir.webis.de</a></p>
<p><strong>About this Workshop</strong></p>
<p><strong> </strong>Intelligent algorithms for mining and retrieval are the key technology to cope with the information need challenges in our media-centered society. Methods for text-based information retrieval receive special attention, which results from the important role of written text, from the high availability of the Internet, and from the enormous importance of Web communities.</p>
<p>Advanced information retrieval and extraction uses methods from different areas: machine learning, computer linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, or distributed systems. The development of<br />
intelligent retrieval tools requires the understanding and combination of the achievements in these areas, and in this sense the workshop provides a common platform for presenting and discussing new solutions.</p>
<p>The following list organizes classic and ongoing topics from the field of text-based IR for which contributions are welcome:</p>
<ul>
<li>Theory. Retrieval models, language models, similarity measures, formal analysis</li>
<li>Mining and Classification. Category formation, clustering, entity resolution, document classification, learning methods for ranking</li>
<li>Web. Community mining, social network analysis, structured retrieval from XML documents</li>
<li>NLP. Text summarization, keyword extraction, topic identification</li>
<li>User Interface. Paradigms and algorithms for information visualization, personalization, privacy issue</li>
<li>User Context. Context models for IR, context analysis from user behaviour and from social networks</li>
<li>Multilinguality. Cross-language retrieval, multilingual retrieval, machine translation for IR</li>
<li>Evaluation. Corpus construction, experiment design, conception of user studies</li>
<li>Semantic Web. Meta data analysis and tagging, knowledge extraction, inference, and maintenance</li>
<li>Software Engineering. Frameworks and architectures for retrieval technology, distributed IR</li>
</ul>
<p>The workshop is held for the seventh time. In the past, it was characterized by a stimulating atmosphere, and it attracted high quality contributions from all over the world. In particular, we encourage participants to present research prototypes and demonstration tools of their research ideas.</p>
<p><strong>Important Dates</strong><br />
Mar 30, 2010 Deadline for paper submission<br />
Apr 20, 2010 Notification to authors<br />
May 17, 2010 Camera-ready copy due<br />
Aug 30, 2010 Workshop opens</p>
<p>Contributions will be peer-reviewed by at least two experts from the related field. Accepted papers will be published as IEEE proceedings by IEEE CS Press.</p>
<p><strong>Workshop Organization</strong></p>
<p>Benno Stein, Bauhaus University Weimar<br />
Michael Granitzer, Know-Center Graz &amp; Graz University of Technology</p>
<p>Contact: <a href="mailto:tir@webis.de">tir@webis.de</a><br />
Information about the workshop can be found at <a href="http://www.tir.webis.de/">http://www.tir.webis.de</a></p>
</div>
</div>
</div>
]]></content:encoded>
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		</item>
		<item>
		<title>img(Anaktisi) Image Search Engine</title>
		<link>http://www.semanticmetadata.net/2008/02/27/imganaktisi-image-search-engine/</link>
		<comments>http://www.semanticmetadata.net/2008/02/27/imganaktisi-image-search-engine/#comments</comments>
		<pubDate>Wed, 27 Feb 2008 09:00:19 +0000</pubDate>
		<dc:creator>Mathias Lux</dc:creator>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[Multimedia]]></category>
		<category><![CDATA[Retrieval]]></category>
		<category><![CDATA[search]]></category>
		<category><![CDATA[cbir]]></category>
		<category><![CDATA[content based search]]></category>
		<category><![CDATA[images]]></category>

		<guid isPermaLink="false">http://www.semanticmetadata.net/2008/02/27/imganaktisi-image-search-engine/</guid>
		<description><![CDATA[Since Blobworld was down I was hoping for a new online CBIR system to show in lectures. Last week I received word about the img(Anaktisi) image search engine from Savvas Chatzichristofis. This search engine is based on 2 new content based descriptors that combine color and edge features. The results look promising! There is also [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.semanticmetadata.net/wp-content/uploads/2008/02/img-search.jpg" title="img-search.jpg"><img src="http://www.semanticmetadata.net/wp-content/uploads/2008/02/img-search.thumbnail.jpg" alt="img-search.jpg" align="right" border="0" hspace="4" vspace="4" /></a>Since Blobworld was down I was hoping for a new online CBIR system to show in lectures. Last week I received word about the <a href="http://orpheus.ee.duth.gr/anaktisi/">img(Anaktisi)</a> image search engine from <a href="http://savvash.blogspot.com/">Savvas Chatzichristofis</a>. This search engine is based on 2 new content based descriptors that combine color and edge features. The results look promising!</p>
<p>There is also an offline sketch based retrieval system being developed. A screencast can be found on <a href="http://www.youtube.com/watch?v=KAF0XTFE9h8">YouTube</a>.</p>
<p><strong>Related Links</strong></p>
<ul>
<li><a href="http://orpheus.ee.duth.gr/anaktisi/">img(Anaktisi)</a> online image search</li>
<li><span><a href="http://www.youtube.com/watch?v=KAF0XTFE9h8">img(Paint.Anaktisis)</a> offline sketch based cbir screencast (via YouTube)</span></li>
<li><span><a href="http://savvash.blogspot.com/">Savvas&#8217; blog</a><br />
</span></li>
</ul>
]]></content:encoded>
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