WIP added INF574 gif

Author: 3rdCore

images/Corail_full.png

@@ -24,7 +24,7 @@
   <table style="width:100%;max-width:920px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
       <tbody><tr><td>
           <p style="text-align:center">
-              <img src="images/Corail_full.png" alt="nav_sign" width="700" height="220">
+              <img src="images/Corail_full.png" alt="nav_sign" width="700" height="150">
             <br>
             <email>
                 <font id="email" size="+1" style="display:inline;">[email protected]</font>
@@ -232,7 +232,7 @@ <h2>News</h2>
 
 		</td>
 	</tr>
-	<td width="25%" valign="center" align="center"><img src="images/sketch.png" alt="nthu" width="180" height="180"></td>
+	<td width="25%" valign="center" align="center"><img src="images/INF574.gif" alt="nthu" width="220" height="210"></td>
 		<td style="padding:20px;width:75%;vertical-align:middle">
 		<a class="tog" href="https://github.com/3rdCore/Shape_Retrieval/" target="_blank">
 			<papertitle>Sketch-based Shape Retrieval</papertitle>
@@ -247,7 +247,6 @@ <h2>News</h2>
 		The project lies on differents techniques such Suggestive Contouring (Canny filter), Gabor filtering (gaussian convolution on Fourier Transformation of the input image) and histogram representation using Visual Vocabulary. 
 		<br>
 		Looking back at this project, I saw that <a class="tog" href="https://arxiv.org/abs/1504.03504" target="_blank">another paper</a> with much more impressive results came out a few years later using <strong>Siamese convolutional Neural Networks</strong> for feature extraction. 
-		<br>
 		<p style="padding:0%;text-align:center">
 			<a href="data/INF574.pdf" target="_blank">Report</a> &nbsp/&nbsp
 			<a href="https://github.com/3rdCore/Shape_Retrieval/" target="_blank">GitHub</a>