Update 25-12-10-Sign.md

Author: andrewjohngilbert

meetings/25-12-10-Sign.md

@@ -9,15 +9,25 @@ image: Sign-Lang.png
 organisers: Edward Fish (University of Surrey), Youngjoon Jang (University of Oxford), Özge Mercanoğlu Sincan (University of Surrey)
 ---
 
-<div class="alert mt-3 alert-info" style="text-align:center;">
-<span><strong>Please register to attend on this link: &nbsp;&nbsp;
-<a class="btn btn-warning" role="button" href="https://bmva.charitysuite.com/events/pmvihyso">Register Here to Attend</a></strong></span>
-</div>
 
 <p style="text-align: center;">
 <a class="btn btn-info" role="button" href="mailto:a.gilbert@surrey.ac.uk">Queries? contact the Meeting's Organiser Andrew Gilbert here</a></p>
 
 ---
+## Videos of Talks
+
+On our BMVA YouTube channel there are recorded talks of the slides and speaker from the day [here](https://www.youtube.com/playlist?list=PLW8VWHVjepIuhpzbtvTXmXXt_cjxBLKNT)
+
+<div class="container">
+	<div class="row"><div class="col-xs-12 col-lg-10 mx-auto">
+		<div class="video-container">
+			<iframe width="560" height="315" src="https://www.youtube.com/embed/videoseries?list=PLW8VWHVjepIuhpzbtvTXmXXt_cjxBLKNT " frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
+		</div>
+	</div></div>
+</div>
+
+
+"Disclaimer: This interpretation was delivered and recorded live, not post-produced or translated after the event. As with any live interpretation, it may contain errors or omissions due to the nature of the event and available preparation materials. Please keep this in mind when watching"
 
 ## Invited Keynotes
 
@@ -28,7 +38,6 @@ organisers: Edward Fish (University of Surrey), Youngjoon Jang (University of Ox
 
 ---
 
-## BSL, International Sign, and ASL interpreting is available. Please contact us for details.
 
 
 The British Machine Vision Association (BMVA) is pleased to announce its upcoming one-day symposium on Sign Language Translation, Production, and Linguistics. This event aims to bring together researchers, academics, and industry professionals from the fields of computer vision, linguistics, and Deaf studies to explore the significant advancements and pressing challenges in automatic sign language processing.