reduced video size

Author: frank-Regal

index.html

@@ -351,13 +351,11 @@ <h2 class="title is-3">Segmentation Examples</h2>
       </div>
     </div>
     <div class="columns is-centered has-text-justified">
-      <div class="column is-four-fifths">
         <p style="margin-top: 30px">
           These are examples of the segmentation masks that were annotated for the EgoNRG dataset.
           You can seee the segmentation masks created for the joint hand-arm for both the left and right limbs.
           You can also see how the dataset has varying clothing conditions, light conditions, and background people visible.
         </p>
-      </div>
     </div>
   </div>
 </section>
@@ -395,7 +393,7 @@ <h2 class="title is-3">Gesture Classes</h2>
             class that was captured in the dataset from the first-person view.
           </p>
           <video id="dollyzoom" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/gesture_examples.mp4"
+            <source src="./static/videos/gif_gesture_examples.mp4"
                     type="video/mp4">
           </video>
           <p style="margin-top: 30px">
@@ -422,7 +420,7 @@ <h2 class="title is-3">Example Videos</h2>
             <source src="./static/videos/example_videos_b_cropped.mp4"
                     type="video/mp4">
           </video>
-          <p style="margin-top: 30px">
+          <p style="margin-top: 0px">
             Examples of raw videos captured from the various viewpoints of the cameras. You can see gestures being performed
             in both indoor and outdoor environments, with participants wearing long sleeves and gloves as well as bare skin,
             in varying lighting conditions, with and without background people visible.
@@ -445,7 +443,7 @@ <h2 class="title is-3">Example Viewpoints</h2>
             <source src="./static/videos/combined_video_example_cropped.mp4"
                     type="video/mp4">
           </video>
-          <p style="margin-top: -30px">
+          <p style="margin-top: 0px">
             This video shows all four viewpoints that were captured in the dataset for each gesture performed by the participants.
             You can see that in each viewpoint, the part of the participants hand that is visible is different across viewpoints,
             hence providing more information for training models that can generalize to other egocentric vision platforms.