diff --git a/slides/illustrations/pansharpening_google_search_final_speedup.mp4 b/slides/illustrations/pansharpening_google_search_final_speedup.mp4
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diff --git a/slides/illustrations/pansharpening_pyotb_laptop_speedup.mp4 b/slides/illustrations/pansharpening_pyotb_laptop_speedup.mp4
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diff --git a/slides/illustrations/pyotb_usecase_speedup.mp4 b/slides/illustrations/pyotb_usecase_speedup.mp4
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diff --git a/slides/index.html b/slides/index.html
index 3fa30b756749cdcb97964b0df6e4a9932408546b..9c7ae25600b8ed2ca3d4a62079240d307c67759d 100644
--- a/slides/index.html
+++ b/slides/index.html
@@ -30,8 +30,6 @@
 		<h1>pyotb</h1>
 		<h1small>A pythonic extension of Orfeo Toolbox</h1small>
 		</br>
-		<h4small>a remote sensing Python library</h4small>
-		</br>
 		<figure>
 			<img src="illustrations/otb_logo.png" width=10%/>
 		</figure>
@@ -42,8 +40,8 @@
 	</section>
 
 	<section data-background-image='illustrations/background.png'> 
-		<h3>Basic satellite image processing in Python</h3>
-		<h4>Example: Pansharpening</h4>
+		<h3>Satellite image processing in Python</h3>
+		<h4>A basic example: Pansharpening</h4>
 		<figure>
 			<img src="illustrations/pansharpening_schema.png" width=60%/>
 		</figure>
@@ -101,10 +99,10 @@
 	<section data-background-image='illustrations/background.png'>
 		<h3>pyotb: remote sensing made easy</h3>
 		<img style='vertical-align:middle' data-src="illustrations/pros.png" width=3%/>
-		<span>Many already implemented remote sensing solutions in Orfeo Toolbox</span>
+		<span>Fits in RAM</span>
 		<br>
 		<img style='vertical-align:middle' data-src="illustrations/pros.png" width=3%/>
-		<span>Fits in RAM</span>
+		<span>Many already implemented remote sensing solutions in Orfeo Toolbox</span>
 		<br>
 		<img style='vertical-align:middle' data-src="illustrations/pros.png" width=3%/>
 		<span>Easy to write</span>
@@ -116,22 +114,22 @@
 	</section>
 	
 	
-	
-	<!-- IV/ PERFORMANCE: ON A BIG SERVER IS IT SLOWER THAN FULL PYTHON ? -->
+	<!-- IV/ USECASE: EXAMPLE FROM THE DOC AVEC EXPORT RASTERIO -->
 	<section>
 	<section data-background-image='illustrations/background.png'> 
-		<h2>Performance comparison</h2>
-		pyotb : 4 minutes: 3 min for processing, using up to 8 CPU cores + 1 min for writing
-		rasterio simple browley : 11 minutes : 10 min, using 1 CPU core + 1 min for writing
-	</section>
+		<h3>An usecase of pyotb</h3>
+		<p>Goal: labeling the bare soils<p>
+		<figure>
+			<img src="illustrations/pyotb_usecase_labelling.png" width=60%/>
+		</figure>
 	</section>
 	
-	
-	<!-- V/ USECASE: EXAMPLE FROM THE DOC AVEC EXPORT RASTERIO -->
-	<section>
 	<section data-background-image='illustrations/background.png'> 
-		<h2>pyotb: An usecase</h2>
+		<h3>An usecase of pyotb</h3>
+		<p>Goal: labeling the bare soils<p>
+		<video data-autoplay width=70% data-src="illustrations/pyotb_usecase_speedup.mp4"></video>
 	</section>
+		
 	</section>