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FYI<br>
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-------- Original Message --------
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">Subject: </th>
<td>ICMLA 2011 StreetView Recognition Challenge</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">Date: </th>
<td>Fri, 5 Aug 2011 13:20:20 +0000</td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">From: </th>
<td>ICMLA <a class="moz-txt-link-rfc2396E" href="mailto:no-reply@icmla-conference.org"><no-reply@icmla-conference.org></a></td>
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<th align="RIGHT" nowrap="nowrap" valign="BASELINE">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:mturk@cs.ucsb.edu">mturk@cs.ucsb.edu</a></td>
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<p style="TEXT-ALIGN: center; MARGIN: 0px; DIRECTION: ltr"
class="c8 c2"><span style="FONT-SIZE: 14pt" class="c5">ICMLA
2011
StreetView Recognition Challenge</span></p>
<p style="MARGIN: 0px; DIRECTION: ltr; HEIGHT: 11pt" class="c2
c3"><span style="FONT-SIZE: 14pt" class="c5"></span></p>
<p style="TEXT-ALIGN: center; MARGIN: 0px; DIRECTION: ltr"
class="c8 c2"><span style="COLOR: #000099; TEXT-DECORATION:
underline" class="c6"><a moz-do-not-send="true"
style="COLOR: ; TEXT-DECORATION: " class="c1"
href="/icmla11/">http://www.icmla-conference.org/icmla11/</a></span></p>
<p style="MARGIN: 0px; DIRECTION: ltr; HEIGHT: 11pt" class="c2
c3"><span style="COLOR: #000099; TEXT-DECORATION: underline"
class="c6"></span></p>
<p style="MARGIN: 0px; DIRECTION: ltr; HEIGHT: 11pt" class="c2
c3"><span style="COLOR: #000099; TEXT-DECORATION: underline"
class="c6"></span></p>
<p style="TEXT-ALIGN: justify; MARGIN: 0px; DIRECTION: ltr"
class="c0"><span style="COLOR: #0000FF; FONT-SIZE: 12pt"
class="c4">OVERVIEW</span></p>
<p style="TEXT-ALIGN: justify; MARGIN: 0px; DIRECTION: ltr"
class="c0"><span>Recognition is a fundamental problem i n
machine learning and computer vision. In this challenge, we
introdu ce a few datasets from Google StreetView which
include street scenes of urban areas.</span></p>
<p style="TEXT-ALIGN: justify;
MARGIN: 0px; DIRECTION: ltr; HEIGHT: 11pt" class="c0 c3"><span></span></p>
<p style="TEXT-ALIGN: justify; MARGIN: 0px; DIRECTION: ltr"
class="c0"><span>We propose two tasks:</span></p>
<ol style="PADDING-BOTTOM: 0px; LIST-STYLE-TYPE: decimal;
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<li style="TEXT-ALIGN: justify; PADDING-LEFT: 0pt; DIRECTION:
ltr; MARGIN-LEFT: 36pt" class="c9 c0"><span>Business
recognition</span></li>
<li style="TEXT-ALIGN: justify; PADDING-LEFT: 0pt; DIRECTION:
ltr; MARGIN-LEFT: 36pt" class="c9 c0"><span>Object
recognition</span></li>
</ol>
<p style="TEXT-ALIGN: justify; MARGIN: 0px; DIRECTION: ltr;
HEIGHT: 11pt" class="c0 c3"><span></span></p>
<p style="TEXT-ALIGN: justify; MARGIN: 0px; DIRECTION: ltr"
class="c0"><span>For the first task we recommend to recognize
businesses including: bank, gas station, parking
garage, hotel, restaurant. For the second task we recommend
object categories of stop sign, ATM machine, bus stop,
street sign, fire hydrant. Participants are encouraged to
submit their results for just one of the tasks or for the
two of them, and for one or multiple categories, or for new
categories defined for street scenes. Methods trained on
other datasets are allowed, but results on the given
StreetView datasets are required in the submission.</span></p>
<p style="MARGIN: 0px; DIRECTION: ltr; HEIGHT: 11pt" class="c2
c3"><span></span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span ss="c4"
cla="">DATASETS</span></p>
<p style="TEXT-ALIGN: justify; MARGIN: 0px; DIRECTION: ltr"
class="c0"><span>The datasets contain Google StreetView images
from Pittsburgh and San Francisco. Please email your name,
affiliation and address to<span
class="Apple-converted-space"> </span></span><span
style="COLOR: #000099; TEXT-DECORATION: underline"
class="c6"><a class="moz-txt-link-abbreviated" href="mailto:meihan@google.com">meihan@google.com</a></span><span> to download the
datasets.</span></p>
<p style="MARGIN: 0px; DIRECTION: ltr; HEIGHT: 11pt" class="c2
c3"><span></span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span
style="COLOR: #0000FF; FONT-SIZE: 12pt" class="c4">SUBMISSION
AND EVALUATION</span></p>
<p style="TEXT-ALIGN: justify; MARGIN: 0px; DIRECTION: ltr"
class="c0"><span>A
short paper (4 pages) describing the proposed algorithms and
results on the provided datasets should be submitted through
the main conference submission website. These papers will be
reviewed mainly based on:</span></p>
<ol style="PADDING-BOTTOM: 0px; LIST-STYLE-TYPE: disc; MARGIN:
0px; PADDING-LEFT: 0px; PADDING-RIGHT: 0px; PADDING-TOP: 0px"
class="c7">
<li style="TEXT-ALIGN: justify; PADDING-LEFT: 0pt; DIRECTION:
ltr; MARGIN-LEFT: 36pt" class="c9
c0"><span>Originality and technical soundness of the
employed algorithms</span></li>
<li style="PADDING-LEFT: 0pt; DIRECTION: ltr; MARGIN-LEFT:
36pt" class="c2 c9"><span>Performance in either or both of
the recognition tasks</span></li>
</ol>
<p style="MARGIN: 0px; DIRECTION: ltr; HEIGHT: 11pt" class="c2
c3"><span></span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span
style="COLOR: #0000FF; FONT-SIZE: 12pt" class="c4">PUBLICATION</span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span>Accepted
papers will be published in the ICMLA& rsquo;11
conference proceedings.</span></p>
<p style="MARGIN: 0px; DIRECTION: ltr; HEIGHT: 11pt" class="c2
c3"><span></span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span
style="COLOR: #0000FF; FONT-SIZE: 12pt" class="c4">IMPORTANT
DATES</span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span>Paper
submission due
September 25, 2011 </span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span>Notification
of acceptance September 28,
2011</span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span>Camera-ready
papers & pre-registration October 1, 2011</span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span>ICMLA'11
conference December
18-21, 2011</span></p>
<p style="MARGIN: 0px; DIRECTION:
ltr; HEIGHT: 11pt" class="c2 c3"><span></span></p>
<p style="TEXT-ALIGN: justify; MARGIN: 0px; DIRECTION: ltr"
class="c0"><span>The authors should submit their papers
through the main conference submission website. Papers must
correspond to th e requirements detailed in the instructions
to authors. Accepted papers must be presented by one of the
authors in order to be published in the conference
proceeding. If you have any questions, do not hesitate to
direct your
questions to the organizers.</span></p>
<p style="TEXT-ALIGN: justify; MARGIN: 0px; DIRECTION: ltr;
HEIGHT: 11pt" class="c0 c3"><span></span></p>
<p style="TEXT-ALIGN: justify; MARGIN: 0px; DIRECTION: ltr"
class="c0"><span>All challenge submissions will be handled
electronically. Detailed instructions for submitting a paper
are provided on the conference home page at:</span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span
style="COLOR:
#000099; TEXT-DECORATION: underline" class="c6"><a
moz-do-not-send="true" style="COLOR: ; TEXT-DECORATION: "
class="c1" href="/icmla11/">http://www.icmla-conference.org/icmla11/</a></span></p>
<p style="MARGIN: 0px; DIRECTION: ltr; HEIGHT: 11pt" class="c2
c3"><span style="COLOR: #000099; TEXT-DECORATION: underline"
class="c6"></span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span
style="COLOR: #0000FF; FONT-SIZE: 12pt" class="c4">ICMLA11
Challenge Session Chair</span></p>
<p style="MARGIN: 0px; DIRECTION: ltr" class="c2"><span>Mei Han,
Google Research, Mountain View, USA</span></p>
</span></span>
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