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<br><br><div class="gmail_quote">2011/3/31 Kai Krueger <span dir="ltr"><<a href="mailto:kakrueger@gmail.com">kakrueger@gmail.com</a>></span><br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
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Hi,<br>
<br>
I had a short look at the proposal. Looking at some of the sample
project proposals on the GSoC page, it looks comparable in detail.<br></div></blockquote><div><br></div><div>first of all Thank you for the response.. </div><div><br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
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<br>
Some thoughts of things you could consider mentioning in the
proposal.<br>
<br>
- You might want to mention a thing about data collection. For one
you will need some sample video to play around with and test how
well things work. More importantly though, you will likely need data
to train the detection and recognition algorithms on. As you will
likely use some form of supervised learning algorithm for those, you
will need a training set of labeled examples, which you will need to
create. I'd hope that the community will help collecting some raw
video material that can be used, but it will then need to be
labeled. Alternatively, or in addition, there might be some standard
training sets for street signs and speed limits, given that there
appears to be a reasonable set of research literature on the topic.<br>
<br>
- It might be good to mention if once you have some basics going, if
you want to take to project either more in the direction of building
something that is fully integrated into the OSM editing ecosystem,
or if you would rather take it more in the research direction of
improving the quality of the detection algorithm, for example using
more rich queues that the video gives you over the single image
processing.<br></div></blockquote><div><br></div><div>I would like to fully integrate this to OSM and also develop and improve the quality of the algorithms in a different components but latter will be done after GSoC. within this time frame i will totally focus in integrating this system to OSM ecosystem.</div>
<div> </div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;"><div bgcolor="#ffffff" text="#000000">
<br>
In that respect, it might be good to be slightly more specific on
the deliverables, although you want to make sure that you don't over
promise and leave enough freedom for inevitable changes along the
line.<br></div></blockquote><div><br></div><div>Since this is a quite a big project and can be extended further i am trying to stick with few goals that means the main and the core idea.i mentioned them in the proposal but i will extend this project even after GSoC to accomplish other tasks such as improving the quality of the algorithms extending the system to identify other signals.</div>
<div> </div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;"><div bgcolor="#ffffff" text="#000000">
<br>
- You could also add a section to the end with a more speculative
part of various possibilities of how the project could be extended
in the future. Even though you are likely not going to be able to
implement (all of) it, it might show that you have a good
understanding of the topics involved and enough ideas to
independently adapt if some of the things don't work out.<br></div></blockquote><div><br></div><div>i will surely update my proposal within this weekend.</div><div> </div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
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<br>
You might also want to put the project related parts of the
application on a public facing page to give more people a
possibility to give suggestions and comments.<br>
<br>
But those are just some thoughts and it should be a good fun project
to work on. <br>
<br>
Kai<div class="im"><br>
<br>
<br>
On 03/28/2011 09:08 PM, Keshan Sodimana | කේෂාන් සෝදිමාන wrote:
<blockquote type="cite">Hi all,
<div>As i mentioned above. i drafted a project proposal and
submitted it to the GSoC site. so it would be great if any
potential mentor can review my proposal.feedbacks are welcome.
here's the link to my proposal : <a href="http://www.google-melange.com/gsoc/proposal/review/google/gsoc2011/keshansanjaya/1#" target="_blank">http://www.google-melange.com/gsoc/proposal/review/google/gsoc2011/keshansanjaya/1#</a></div>
<div>(i didn't make this proposal publicly visible)</div>
<div><br>
</div>
<div>Thanks !!!</div>
<div>- Keshan </div>
<div>
<br>
<div class="gmail_quote">On Tue, Mar 22, 2011 at 11:49 PM,
Stefan de Konink <span dir="ltr"><<a href="mailto:stefan@konink.de" target="_blank">stefan@konink.de</a>></span>
wrote:<br>
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Op 22-03-11 08:33, Kai Krueger schreef:<br>
<div>> I'll possibly be able to mentor such a
project, although I know little about<br>
> the code of any of the editors, so I'd be less able
to help on that side of<br>
> things.<br>
<br>
</div>
Since I was the mentor of the last project, there is a great
number of<br>
test material available to even build a recognizer. Video
segmentation<br>
is step two, not the first step.</blockquote>
</div>
</div>
</blockquote></div>
Yes, the first step approach (and potentially even sufficient step)
would be to treat each video frame as an independent still image. <br>
<br>
Do you still have the material and write up for last years project,
as that project is clearly very relevant to this one and thus should
be a good source of inspiration.<div class="im"><br>
<br>
<blockquote type="cite">
<div>
<div class="gmail_quote">
<blockquote class="gmail_quote" style="margin:0pt 0pt 0pt 0.8ex;border-left:1px solid rgb(204, 204, 204);padding-left:1ex">If someone isn't able to even find a<br>
sign on a still image, it is even harder to do it on motion
pictures.<br>
</blockquote>
</div>
</div>
</blockquote></div>
Depending on what you mean by "harder", not necessarily. Video gives
you a lot of redundancy that you don't have in a still image. And so
you can potentially accept a much higher false positive rate on the
individual frames, as you combine the various predictions on the
frames to reach a higher confidence, and thus you potentially can
get away with a weaker detector. <br><div class="im">
<blockquote type="cite">
<div>
<div class="gmail_quote">
<blockquote class="gmail_quote" style="margin:0pt 0pt 0pt 0.8ex;border-left:1px solid rgb(204, 204, 204);padding-left:1ex">
<br>
For Dutch signs, and most likely many international ones on
Wikipedia<br>
SVG images do exist showing signs in the highest details
possible. So<br>
first things first:<br>
<br>
- sign is present (x,y,w,h)<br>
- classify sign<br>
- segment video<br>
- enhance recognitionrate on multiple images<br>
- pinpoint the location of the sign in 3D<br>
<br>
<br>
Stefan<br>
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