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<div class="title">Project B: World Map of Faces</div>
<p><b>performed by Group 1</b></p>

<p>
There is staggering diversity in the people that live in various parts of the world. With modern technology, we can try to show smiles from all over the planet. <a href="https://www.flickr.com/">Flickr pictures</a> are often annoted with the GPS coordinates of the place they were taken. Face detection software has advanced considerably. Your task is to create a "World Map of Faces" by extracting faces from flickr images and putting them on a map.
</p>

<div class="post_title">Idea</div>
<ul>
<li>Process the Flickr dataset, consider only those with GPS coordinates</li>
<li>Download actual images from the Web</li>
<li>Use face detection software to find and extract faces from pictures</li>
<li>Visualize faces on a world map with attribution to author</li>
<li><i>Stretch goals: Advanced visualization, face detection tuning</i></li>
</ul>

<div class="post_title">Technology</div>
<p>
This analysis will be using <a href="http://hadoop.apache.org/">Map/Reduce</a> and the <a href="http://www.openimaj.org/">OpenIMAJ face detection library</a>. 
</p>
<div class="post_title">Technology</div>
<p>
The flickr data is available in text format. The data will be available on HDFS at <code>/user/hannesm/lsde/flickr</code> . Example:
</p>
<pre style="font-size: 9px; white-space: pre-wrap;">
4571314348      47065077@N00    savagecat       2010-04-16 11:00:49.0   1272811190      Canon+EOS+400D+DIGITAL  On+the+Wall             b%26w,black+%26+white,choir+tour,hadrian%27s+wall,noir+et+blanc,portrait,sewingshields,st+george%27s,wall               -2.335453       55.010991       12      http://www.flickr.com/photos/47065077@N00/4571314348/   http://farm5.staticflickr.com/4036/4571314348_03a71b7bbb.jpg    Attribution License     http://creativecommons.org/licenses/by/2.0/     4036    5       03a71b7bbb      62ffbfb29f      jpg     0
</pre>
<ol>
<li>Photo/video identifier</li>
<li>User NSID</li>
<li>User nickname</li>
<li>Date taken</li>
<li>Date uploaded</li>
<li>Capture device</li>
<li>Title</li>
<li>Description</li>
<li>User tags (comma-separated)</li>
<li>Machine tags (comma-separated)</li>
<li>Longitude</li>
<li>Latitude</li>
<li>Accuracy</li>
<li>Photo/video page URL</li>
<li>Photo/video download URL</li>
<li>License name</li>
<li>License URL</li>
<li>Photo/video server identifier</li>
<li>Photo/video farm identifier</li>
<li>Photo/video secret</li>
<li>Photo/video secret original</li>
<li>Photo/video extension original</li>
<li>Photos/video marker (0 = photo, 1 = video)</li>
</ol>

<div class="post_title">Literature</div>
<ul>
<li><a href="http://eprints.soton.ac.uk/273040/1/osc18c-hare.pdf">OpenIMAJ and ImageTerrier: Java Libraries and Tools for Scalable Multimedia Analysis and Indexing of Images</a></li>
<li><a href="db_vs_mapreduce.pdf">MapReduce and Parallel DBMS's: Friends or Foes?</a></li>
</ul>

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