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					<span class="CEURVOLNR">Vol-3181</span> <br>
					<span class="CEURURN">urn:nbn:de:0074-3181-0</span>
					<p class="unobtrusive copyright" style="text-align: justify">Copyright &copy; 2021 for
						the individual papers by the papers' authors.
						Copyright &copy; <span class="CEURPUBYEAR">2021</span> for the volume
						as a collection by its editors.
						This volume and its papers are published under the
						Creative Commons License Attribution 4.0 International
						<A HREF="https://creativecommons.org/licenses/by/4.0/">(<span class="CEURLIC">CC BY
								4.0</span>)</A>.
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	<hr />

	<br /><br /><br />

	<br />

	<h1>
		<a href="https://multimediaeval.github.io/editions/2021/" target="_blank"><span class="CEURVOLACRONYM">MediaEval
				2021</span></a><br />
		<span class="CEURVOLTITLE">Multimedia Benchmark 2021</span>
	</h1>
	<br />

	<h3>
		<span class="CEURFULLTITLE">Working Notes Proceedings of the MediaEval 2021 Workshop</span><br />
	</h3>

	<h3>
		<span class="CEURLOCTIME">Online, 13-15 December 2021</span>.
	</h3>
	<br />

	<b> Edited by </b>
	<p>

	</p>
	<h3>
		<span class="CEURVOLEDITOR">Steven Hicks</span> (1)<br>
		<span class="CEURVOLEDITOR">Konstantin Pogorelov</span> (2)<br>
		<span class="CEURVOLEDITOR">Andreas Lommatzsch</span> (3)<br>
		<span class="CEURVOLEDITOR">Alba García Seco De Herrera</span> (4)<br>
		<span class="CEURVOLEDITOR">Pierre-Etienne Martin</span> (5, 6)<br>
		<span class="CEURVOLEDITOR">Syed Zohaib Hassan</span> (1, 7)<br>
		<span class="CEURVOLEDITOR">Alastair Porter</span> (8)<br>
		<span class="CEURVOLEDITOR">Asem Kasem</span> (9)<br>
		<span class="CEURVOLEDITOR">Stelios Andreadis</span> (10)<br>
		<span class="CEURVOLEDITOR">Mathias Lux</span> (11)<br>
		<span class="CEURVOLEDITOR">Marc Gallofré Ocaña</span> (12)<br>
		<span class="CEURVOLEDITOR">Alex Liu</span> (13)<br>
		<span class="CEURVOLEDITOR">Martha Larson</span> (14, 15)<br>
	</h3>


	(1) SimulaMet, Norway<br>
	(2) Simula Research Laboratory, Norway<br>
	(3) Technische Universität Berlin, Germany<br>
	(4) University of Essex, United Kingdom<br>
	(5) University Bordeaux, CNRS, Bordeaux INP, and LaBRI, France<br>
	(6) Max Planck Institute for Evolutionary Anthropology, Germany<br>
	(7) Oslo Metropolitan University, Norway<br>
	(8) Universitat Pompeu Fabra, Spain<br>
	(9) Universiti Teknologi Brunei, Brunei<br>
	(10) Information Technologies Institute - Centre for Research and Technology Hellas, Greece<br>
	(11) University of Klagenfurt, Austria<br>
	(12) University of Bergen, Norway<br>
	(13) University of California, Berkeley, USA<br>
	(14) Radboud University, Netherlands<br>
	(15) Delft University of Technology, Netherlands<br>

<hr><br><br>

	<div class="CEURTOC">
		<h2>Table of Contents</h2>
		<ul>
			<li id="Preface">
				Summary: There were <span class="CEURSUBMITTEDPAPERS">140</span> teams registered to participate in the
				MediaEval 2022 benchmark. This volume contains
				<span class="CEURACCEPTEDPAPERS">72</span> peer-reviewed short poster-length papers,
				<span class="CEURACCEPTEDREGULARPAPERS">10</span> are task overview papers and
				<span class="CEURACCEPTEDSHORTPAPERS">62</span> are participant papers.
			</li>
		</ul>
		<br>
		<h3><span class="CEURSESSION">FakeNews</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper56">
				<a href="paper56.pdf" target="_blank">
					<span class="CEURTITLE">FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at
						MediaEval 2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Konstantin Pogorelov</span>, <span class="CEURAUTHOR">Daniel Thilo
					Schroeder</span>, <span class="CEURAUTHOR">Stefan Brenner</span>, <span class="CEURAUTHOR">Johannes
					Langguth</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper41">
				<a href="paper41.pdf" target="_blank">
					<span class="CEURTITLE">Don’t Just Drop Them: Function Words as Features in COVID-19 Related Fake
						News Classification on Twitter</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Pascal Schröder</span>
			</li>
		</ul>

		<ul>
			<li id="paper57">
				<a href="paper57.pdf" target="_blank">
					<span class="CEURTITLE">Classifying COVID-19 Conspiracy Tweets with Word Embedding and BERT</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Yuta Yanagi</span>, <span class="CEURAUTHOR">Ryouhei Orihara</span>, <span
					class="CEURAUTHOR">Yasuyuki Tahara</span>, <span class="CEURAUTHOR">Yuichi Sei</span>, <span
					class="CEURAUTHOR">Akihiko
					Ohsuga</span>
			</li>
		</ul>

		<ul>
			<li id="paper59">
				<a href="paper59.pdf" target="_blank">
					<span class="CEURTITLE">Short Text Classification using TF-IDF Features and Fast Text Learner</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Zeshan Khan</span>, <span class="CEURAUTHOR">Umar Naseer</span>, <span
					class="CEURAUTHOR">Muhammad Atif Tahir</span>
			</li>
		</ul>

		<ul>
			<li id="paper61">
				<a href="paper61.pdf" target="_blank">
					<span class="CEURTITLE">On The Pursuit of Fake News : Graph Neural Network meets NLP</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Zeynep Pehlivan</span>
			</li>
		</ul>

		<ul>
			<li id="paper62">
				<a href="paper62.pdf" target="_blank">
					<span class="CEURTITLE">DL-TXST Fake News: Enhancing Tweet Content Classification with Adapted
						Language Models</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Muhieddine Shebaro</span>, <span class="CEURAUTHOR">Jason Oliver</span>, <span
					class="CEURAUTHOR">Tomiwa Olarewaju</span>, <span class="CEURAUTHOR">Jelena Tesic</span>
			</li>
		</ul>

		<ul>
			<li id="paper63">
				<a href="paper63.pdf" target="_blank">
					<span class="CEURTITLE">HCMUS MediaEval 2021: Multi-Model Decision Method Applied on Data
						Augmentation for COVID-19 Conspiracy Theories Classification</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Tuan-An To</span>, <span class="CEURAUTHOR">Nham-Tan Nguyen</span>, <span
					class="CEURAUTHOR">Dinh-Khoi Vo</span>, <span class="CEURAUTHOR">Nhat-Quynh Le-Pham</span>, <span
					class="CEURAUTHOR">Hai-Dang Nguyen</span>, <span class="CEURAUTHOR">Minh-Triet Tran</span>
			</li>
		</ul>

		<ul>
			<li id="paper65">
				<a href="paper65.pdf" target="_blank">
					<span class="CEURTITLE">Detecting COVID-19-Related Conspiracy Theories in Tweets</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Youri Peskine</span>, <span class="CEURAUTHOR">Giulio Alfarano</span>, <span
					class="CEURAUTHOR">Ismail Harrando</span>, <span class="CEURAUTHOR">Paolo Papotti</span>, <span
					class="CEURAUTHOR">Raphaël
					Troncy</span>
			</li>
		</ul>

		<ul>
			<li id="paper67">
				<a href="paper67.pdf" target="_blank">
					<span class="CEURTITLE">On the Performance of Different Text Classification Strategies on Conspiracy
						Classification in Social Media</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Manfred Moosleitner</span>, <span class="CEURAUTHOR">Bernjamin Murauer</span>
			</li>
		</ul>

		<ul>
			<li id="paper68">
				<a href="paper68.pdf" target="_blank">
					<span class="CEURTITLE">Detecting Fake News Conspiracies with Multitask and Prompt-Based
						Learning</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Cheikh Brahim El Vaigh</span>, <span class="CEURAUTHOR">Thomas Girault</span>,
				<span class="CEURAUTHOR">Cyrielle Mallart</span>, <span class="CEURAUTHOR">Duc Hau Nguyen</span>
			</li>
		</ul>

		<ul>
			<li id="paper69">
				<a href="paper69.pdf" target="_blank">
					<span class="CEURTITLE">MeVer team tackling Corona virus and Conspiracies using Ensemble
						Classification</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Olga Papadopoulou</span>, <span class="CEURAUTHOR">Symeon Papadopoulos</span>
			</li>
		</ul>

		<ul>
			<li id="paper70">
				<a href="paper70.pdf" target="_blank">
					<span class="CEURTITLE">Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Haoming Guo</span>, <span class="CEURAUTHOR">Tianyi Huang</span>, <span
					class="CEURAUTHOR">Huixuan Huang</span>, <span class="CEURAUTHOR">Mingyue Fan</span>, <span
					class="CEURAUTHOR">Gerald
					Friedland</span>
			</li>
		</ul>

		<ul>
			<li id="paper76">
				<a href="paper76.pdf" target="_blank">
					<span class="CEURTITLE">HCMUS at MediaEval2021: Content-Based Misinformation Detection Using
						Contextualized Word Embedding from BERT</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Tuan Luc Huynh</span>, <span class="CEURAUTHOR">Nhat-Khang Ngo</span>, <span
					class="CEURAUTHOR">Phu-Van Nguyen</span>, <span class="CEURAUTHOR">Thien Tri Cao</span>, <span
					class="CEURAUTHOR">Thanh-Danh Le</span>, <span class="CEURAUTHOR">Hai-Dang Nguyen</span>, <span
					class="CEURAUTHOR">Minh-Triet
					Tran</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">NewsImages</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper2">
				<a href="paper2.pdf" target="_blank">
					<span class="CEURTITLE">News Images in MediaEval 2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Benjamin Kille</span>, <span class="CEURAUTHOR">Andreas Lommatzsch</span>,
				<span class="CEURAUTHOR">Özlem Özgöbek</span>, <span class="CEURAUTHOR">Mehdi Elahi</span>, <span
					class="CEURAUTHOR">Duc-Tien
					Dang-Nguyen</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper11">
				<a href="paper11.pdf" target="_blank">
					<span class="CEURTITLE">Image-Text Rematching for News Items using Optimized Embeddings and CNNs in
						MediaEval NewsImages 2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Tom Sühr</span>, <span class="CEURAUTHOR">Ajay Madhavanr</span>, <span
					class="CEURAUTHOR">Nasim Jamshidi Avanaki</span>, <span class="CEURAUTHOR">René Berk</span>, <span
					class="CEURAUTHOR">Andreas
					Lommatzsch</span>
			</li>
		</ul>

		<ul>
			<li id="paper26">
				<a href="paper26.pdf" target="_blank">
					<span class="CEURTITLE">Image-Text Re-Matching Using Swin Transformer and DistilBERT</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Yuta Fukatsu</span>, <span class="CEURAUTHOR">Masaki Aono</span>
			</li>
		</ul>

		<ul>
			<li id="paper30">
				<a href="paper30.pdf" target="_blank">
					<span class="CEURTITLE">Exploring a Pre-trained Model for Re-Matching News Texts and Images</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Mingliang Liang</span>, <span class="CEURAUTHOR">Martha Larson</span>
			</li>
		</ul>

		<ul>
			<li id="paper37">
				<a href="paper37.pdf" target="_blank">
					<span class="CEURTITLE">Visual Topic Modelling for NewsImage Task at MediaEval 2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Lidia Pivovarova</span>, <span class="CEURAUTHOR">Elaine Zosa</span>
			</li>
		</ul>

		<ul>
			<li id="paper43">
				<a href="paper43.pdf" target="_blank">
					<span class="CEURTITLE">NewsSeek-NOVA at MediaEval 2021: Context-enriched Multimodal Transformers
						For News Images Re-matching</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Cláudio Bartolomeu</span>, <span class="CEURAUTHOR">Rui Nóbrega</span>, <span
					class="CEURAUTHOR">David
					Semedo</span>
			</li>
		</ul>

		<ul>
			<li id="paper45">
				<a href="paper45.pdf" target="_blank">
					<span class="CEURTITLE">Methods for Text-Image-Rematching using Pair-wise Similarity and Canonical
						Similarity Analysis</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Kani Abdul</span>, <span class="CEURAUTHOR">Kiran Kiran</span>, <span
					class="CEURAUTHOR">Max Rudat</span>, <span class="CEURAUTHOR">Alexandros Vasileiou</span>, <span
					class="CEURAUTHOR">Andreas
					Lommatzsch</span>
			</li>
		</ul>

		<ul>
			<li id="paper48">
				<a href="paper48.pdf" target="_blank">
					<span class="CEURTITLE">HCMUS at MediaEval 2021: Fine-tuning CLIP for Automatic News-Images
						Re-Matching</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Thien Tri Cao</span>, <span class="CEURAUTHOR">Nhat Khang Ngô</span>, <span
					class="CEURAUTHOR">Thanh Danh Le</span>, <span class="CEURAUTHOR">Tuan Luc Huynh</span>, <span
					class="CEURAUTHOR">Ngoc Thien Nguyen</span>, <span class="CEURAUTHOR">Hai Dang Nguyen</span>, <span
					class="CEURAUTHOR">Minh-Triet
					Tran</span>
			</li>
		</ul>

		<ul>
			<li id="paper49">
				<a href="paper49.pdf" target="_blank">
					<span class="CEURTITLE">DL-TXST NewsImages: Contextual Feature Enrichment for Image-Text
						Re-matching</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Yuxiao Zhou</span>, <span class="CEURAUTHOR">Andres Gonzalez</span>, <span
					class="CEURAUTHOR">Parisa Tabassum</span>, <span class="CEURAUTHOR">Jelena Tesic</span>
			</li>
		</ul>

		<ul>
			<li id="paper58">
				<a href="paper58.pdf" target="_blank">
					<span class="CEURTITLE">Deep Embedding-based Multimodal Matching for News Articles: Exploring the
						Effects of Transfer Learning & Data Augmentation</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Martin Ludwig Zehetner</span>, <span class="CEURAUTHOR">Mohamed Amine
					Dhiab</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">Medico</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper1">
				<a href="paper1.pdf" target="_blank">
					<span class="CEURTITLE">Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image
						Segmentation</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Steven Hicks</span>, <span class="CEURAUTHOR">Debesh Jha</span>, <span
					class="CEURAUTHOR">Vajira Thambawita</span>, <span class="CEURAUTHOR">Hugo Hammer</span>, <span
					class="CEURAUTHOR">Thomas de Lange</span>, <span class="CEURAUTHOR">Sravanthi Parasa</span>, <span
					class="CEURAUTHOR">Michael Riegler</span>, <span class="CEURAUTHOR">Pål Halvorsen</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper12">
				<a href="paper12.pdf" target="_blank">
					<span class="CEURTITLE">Unsupervised Image Segmentation via Self-Supervised Learning Image
						Classification</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Andrea Storås</span>
			</li>
		</ul>

		<ul>
			<li id="paper25">
				<a href="paper25.pdf" target="_blank">
					<span class="CEURTITLE">Predictive Uncertainty Masks from Deep Ensembles in Automated Polyp
						Segmentation</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Felicia Ly Jacobsen</span>
			</li>
		</ul>

		<ul>
			<li id="paper32">
				<a href="paper32.pdf" target="_blank">
					<span class="CEURTITLE">HCMUS-Juniors at Medico Polyp Segmentation Task 2021: Efficient U-Net for
						Polyps Segmentation</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Quoc-Huy Trinh</span>, <span class="CEURAUTHOR">Trong-Hieu Nguyen Mau</span>,
				<span class="CEURAUTHOR">Minh-Van Nguyen</span>, <span class="CEURAUTHOR">Van-Son Ho</span>, <span
					class="CEURAUTHOR">Tan-Cong Nguyen</span>, <span class="CEURAUTHOR">Hai-Dang Nguyen</span>,
				<span class="CEURAUTHOR">Minh-Triet Tran</span>
			</li>
		</ul>

		<ul>
			<li id="paper34">
				<a href="paper34.pdf" target="_blank">
					<span class="CEURTITLE">Medico 2021: Medical Image Augmentation and Segmentation using Combination
						of Segmentation Neural Networks</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Zeshan Khan</span>, <span class="CEURAUTHOR">Mubasher Khan</span>, <span
					class="CEURAUTHOR">Mubashir Yasin</span>, <span class="CEURAUTHOR">Muhammad Hassan</span>, <span
					class="CEURAUTHOR">Muhammad Atif Tahir</span>
			</li>
		</ul>

		<ul>
			<li id="paper40">
				<a href="paper40.pdf" target="_blank">
					<span class="CEURTITLE">Automated Polyp Segmentation in Colonoscopy using MSRFNet</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Saurab Rauniyar</span>, <span class="CEURAUTHOR">Abhishek Srivastava</span>,
				<span class="CEURAUTHOR">Vabesh Kumar Jha</span>, <span class="CEURAUTHOR">Ritika Kumari Jha</span>,
				<span class="CEURAUTHOR">Debesh Jha, Ashish Rauniyar</span>
			</li>
		</ul>

		<ul>
			<li id="paper50">
				<a href="paper50.pdf" target="_blank">
					<span class="CEURTITLE">A Study on Test-Time Augmentation and Attention Mechanism in DeepLabv3+ for
						Deep Learning-Based Segmentation</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Sy-Phuc Pham</span>, <span class="CEURAUTHOR">Hyung-Jeong Yang</span>, <span
					class="CEURAUTHOR">Duy-Phuong Dao</span>, <span class="CEURAUTHOR">Soo-Hyung Kim</span>, <span
					class="CEURAUTHOR">Guee-Sang
					Lee</span>
			</li>
		</ul>

		<ul>
			<li id="paper54">
				<a href="paper54.pdf" target="_blank">
					<span class="CEURTITLE">HCMUS at MediaEval2021: Polyps Segmentation using TransFuse with Focal
						Tversky Loss</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Nhat-Khang Ngo</span>, <span class="CEURAUTHOR">Tuan-Luc Huynh</span>, <span
					class="CEURAUTHOR">Thanh-Danh Le</span>, <span class="CEURAUTHOR">Hai-Dang Nguyen</span>, <span
					class="CEURAUTHOR">Minh-Triet
					Tran</span>
			</li>
		</ul>

		<ul>
			<li id="paper71">
				<a href="paper71.pdf" target="_blank">
					<span class="CEURTITLE">HCMUS at MediaEval2021: PointRend with Attention Fusion Refinement for
						Polyps Segmentation</span>
				</a>
				<br>
				<span class="CEURAUTHOR">E-Ro Nguyen</span>, <span class="CEURAUTHOR">Hai-Dang Nguyen</span>, <span
					class="CEURAUTHOR">Minh-Triet
					Tran</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">Predicting Media Memorability</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper10">
				<a href="paper10.pdf" target="_blank">
					<span class="CEURTITLE">Overview of The MediaEval 2021 Predicting Media Memorability Task</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Rukiye Savran Kızıltepe</span>, <span class="CEURAUTHOR">Mihai Gabriel
					Constantin</span>, <span class="CEURAUTHOR">Claire-Helene Demarty</span>, <span
					class="CEURAUTHOR">Graham Healy</span>, <span class="CEURAUTHOR">Camilo Fosco</span>, <span
					class="CEURAUTHOR">Alba García Seco De Herrera</span>, <span class="CEURAUTHOR">Sebastian
					Halder</span>, <span class="CEURAUTHOR">Bogdan Ionescu</span>, <span class="CEURAUTHOR">Ana
					Matran-Fernandez</span>, <span class="CEURAUTHOR">Alan F. Smeaton</span>, <span
					class="CEURAUTHOR">Lorin Sweeney</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper16">
				<a href="paper16.pdf" target="_blank">
					<span class="CEURTITLE">Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media
						Memorability</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Lorin Sweeney</span>, <span class="CEURAUTHOR">Ana Matran-Fernandez</span>,
				<span class="CEURAUTHOR">Sebastian Halder</span>, <span class="CEURAUTHOR">Alba Garcia Seco de
					Herrera</span>, <span class="CEURAUTHOR">Alan Smeaton</span>, <span class="CEURAUTHOR">Graham
					Healy</span>
			</li>
		</ul>

		<ul>
			<li id="paper18">
				<a href="paper18.pdf" target="_blank">
					<span class="CEURTITLE">Cross-modal Interaction for Video Memorability Prediction</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Youwei Lu</span>, <span class="CEURAUTHOR">Xiaoyu Wu</span>
			</li>
		</ul>

		<ul>
			<li id="paper31">
				<a href="paper31.pdf" target="_blank">
					<span class="CEURTITLE">HCMUS at MediaEval2021: Attention-based Hierarchical Fusion Network for
						Predicting Media Memorability</span>
				</a>
				<br>
				<span class="CEURAUTHOR">E-Ro Nguyen</span>, <span class="CEURAUTHOR">Hai-Dang Huynh-Lam</span>, <span
					class="CEURAUTHOR">Hai-Dang Nguyen</span>, <span class="CEURAUTHOR">Minh-Triet Tran</span>
			</li>
		</ul>

		<ul>
			<li id="paper35">
				<a href="paper35.pdf" target="_blank">
					<span class="CEURTITLE">Predicting Media Memorability: Comparing Visual, Textual, and Auditory
						Features</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Lorin Sweeney</span>, <span class="CEURAUTHOR">Graham Healy</span>, <span
					class="CEURAUTHOR">Alan
					Smeaton</span>
			</li>
		</ul>

		<ul>
			<li id="paper42">
				<a href="paper42.pdf" target="_blank">
					<span class="CEURTITLE">THAU-UPM at MediaEval 2021: From Video Semantics To Memorability Using
						Pretrained Transformers</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Ricardo Kleinlein</span>, <span class="CEURAUTHOR">Cristina
					Luna-Jiménez</span>,
				<span class="CEURAUTHOR">Fernando Fernández-Martínez</span>
			</li>
		</ul>

		<ul>
			<li id="paper53">
				<a href="paper53.pdf" target="_blank">
					<span class="CEURTITLE">Exploring Multimodality, Perplexity and Explainability for Memorability
						Prediction</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Alison Reboud</span>, <span class="CEURAUTHOR">Ismail Harrando</span>, <span
					class="CEURAUTHOR">Jorma Laaksonen</span>, <span class="CEURAUTHOR">Raphaël Troncy</span>
			</li>
		</ul>

		<ul>
			<li id="paper73">
				<a href="paper73.pdf" target="_blank">
					<span class="CEURTITLE">Using Vision Transformers and Memorable Moments for the Prediction of Video
						Memorability</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Mihai Gabriel Constantin</span>, <span class="CEURAUTHOR">Bogdan Ionescu</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">Sports Video</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper3">
				<a href="paper3.pdf" target="_blank">
					<span class="CEURTITLE">Sports Video: Fine-Grained Action Detection and Classification of Table
						Tennis Strokes from videos for MediaEval 2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Pierre-Etienne Martin</span>, <span class="CEURAUTHOR">Jordan Calandre</span>,
				<span class="CEURAUTHOR">Boris Mansencal</span>, <span class="CEURAUTHOR">Jenny Benois-Pineau</span>,
				<span class="CEURAUTHOR">Renaud Péteri</span>, <span class="CEURAUTHOR">Laurent Mascarilla</span>, <span
					class="CEURAUTHOR">Julien
					Morlier</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper13">
				<a href="paper13.pdf" target="_blank">
					<span class="CEURTITLE">Spatio-Temporal CNN Baseline Method for the Sports Video Task of MediaEval
						2021 Benchmark</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Pierre-Etienne Martin</span>
			</li>
		</ul>

		<ul>
			<li id="paper36">
				<a href="paper36.pdf" target="_blank">
					<span class="CEURTITLE">HCMUS at MediaEval 2021: Ensembles of Action Recognition Networks with Prior
						Knowledge for Table Tennis Strokes Classification Task</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Trong-Tung Nguyen</span>, <span class="CEURAUTHOR">Thanh-Son Nguyen</span>,
				<span class="CEURAUTHOR">Gia-Bao Dinh Ho</span>, <span class="CEURAUTHOR">Hai-Dang Nguyen</span>, <span
					class="CEURAUTHOR">Minh-Triet
					Tran</span>
			</li>
		</ul>

		<ul>
			<li id="paper38">
				<a href="paper38.pdf" target="_blank">
					<span class="CEURTITLE">YOLOV5 for Stroke Detection and Classification in Table Tennis</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Bhuvana J</span>, <span class="CEURAUTHOR">Mirnalinee T T</span>, <span
					class="CEURAUTHOR">Bharathi B</span>, <span class="CEURAUTHOR">Jayasooryan S</span>, <span
					class="CEURAUTHOR">Lokesh N N</span>
			</li>
		</ul>

		<ul>
			<li id="paper52">
				<a href="paper52.pdf" target="_blank">
					<span class="CEURTITLE">Learning Unbiased Transformer for Long-Tail Sports Action
						Classification</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Yijun Qian</span>, <span class="CEURAUTHOR">Lijun Yu</span>, <span
					class="CEURAUTHOR">Wenhe Liu</span>, <span class="CEURAUTHOR">Alexander Hauptmann</span>
			</li>
		</ul>

		<ul>
			<li id="paper55">
				<a href="paper55.pdf" target="_blank">
					<span class="CEURTITLE">Two Stream Network for Stroke Detection in Table Tennis</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Anam Zahra</span>, <span class="CEURAUTHOR">Pierre-Etienne Martin</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">Visual Sentiment Analysis</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper5">
				<a href="paper5.pdf" target="_blank">
					<span class="CEURTITLE">Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval
						2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Syed Zohaib Hassan</span>, <span class="CEURAUTHOR">Kashif Ahmad</span>, <span
					class="CEURAUTHOR">Michael Riegler</span>, <span class="CEURAUTHOR">Steven Hicks</span>, <span
					class="CEURAUTHOR">Nicola Conci</span>, <span class="CEURAUTHOR">Pål Halvorsen</span>, <span
					class="CEURAUTHOR">Ala Al-Fuqaha</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper15">
				<a href="paper15.pdf" target="_blank">
					<span class="CEURTITLE">Combining Multiple Deep-learning-based Image Features for Visual Sentiment
						Analysis</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Alexandros Pournaras</span>, <span class="CEURAUTHOR">Nikolaos Gkalelis</span>,
				<span class="CEURAUTHOR">Damianos Galanopoulos</span>, <span class="CEURAUTHOR">Vasileios Mezaris</span>
			</li>
		</ul>

		<ul>
			<li id="paper22">
				<a href="paper22.pdf" target="_blank">
					<span class="CEURTITLE">Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia
						Content</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Khubaib Ahmad</span>, <span class="CEURAUTHOR">Muhammad Asif Ayub</span>, <span
					class="CEURAUTHOR">Kashif Ahmad</span>, <span class="CEURAUTHOR">Ala Al-Fuqaha</span>, <span
					class="CEURAUTHOR">Nasir Ahmad</span>
			</li>
		</ul>

		<ul>
			<li id="paper24">
				<a href="paper24.pdf" target="_blank">
					<span class="CEURTITLE">Visual Sentiment Analysis Multiplying Deep learning and Vision
						Transformers</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Tetsuya Asakawa</span>, <span class="CEURAUTHOR">Riku Tsuneda</span>, <span
					class="CEURAUTHOR">Masaki
					Aono</span>
			</li>
		</ul>

		<ul>
			<li id="paper28">
				<a href="paper28.pdf" target="_blank">
					<span class="CEURTITLE">Disaster based Visual Sentiment Analysis using Deep Learning</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Mohsin Ali</span>, <span class="CEURAUTHOR">Muhammad Hanif</span>, <span
					class="CEURAUTHOR">Muhammad Atif Tahir</span>, <span class="CEURAUTHOR">Muhammad Nouman
					Durrani</span>,
				<span class="CEURAUTHOR">Muhammad Rafi</span>
			</li>
		</ul>

		<ul>
			<li id="paper33">
				<a href="paper33.pdf" target="_blank">
					<span class="CEURTITLE">HCMUS at MediaEval 2021: Efficient methods of Metadata Embedding and
						Augmentation for Visual Sentiment Analysis</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Bang-Dang Pham</span>, <span class="CEURAUTHOR">Nhat-Tan Bui</span>, <span
					class="CEURAUTHOR">Minh-Khoi Pham</span>, <span class="CEURAUTHOR">Pham Van Ngoan</span>, <span
					class="CEURAUTHOR">Truong-Hai Nguyen</span>, <span class="CEURAUTHOR">Thang-Long Nguyen-Ho</span>,
				<span class="CEURAUTHOR">Hai-Dang Nguyen</span>, <span class="CEURAUTHOR">Minh-Triet Tran</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">Emotions and Themes in Music</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper6">
				<a href="paper6.pdf" target="_blank">
					<span class="CEURTITLE">MediaEval 2021: Emotion and Theme Recognition in Music Using Jamendo</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Philip Tovstogan</span>, <span class="CEURAUTHOR">Dmitry Bogdanov</span>, <span
					class="CEURAUTHOR">Alastair
					Porter</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper14">
				<a href="paper14.pdf" target="_blank">
					<span class="CEURTITLE">Recognizing Song Mood and Theme: Clustering-based Ensembles</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Maximilian Mayerl</span>, <span class="CEURAUTHOR">Michael Vötter</span>, <span
					class="CEURAUTHOR">Andreas Peintner</span>, <span class="CEURAUTHOR">Günther Specht</span>, <span
					class="CEURAUTHOR">Eva
					Zangerle</span>
			</li>
		</ul>

		<ul>
			<li id="paper17">
				<a href="paper17.pdf" target="_blank">
					<span class="CEURTITLE">Semi-Supervised Music Emotion Recognition using Noisy Student Training and
						Harmonic Pitch Class Profiles</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Hao Hao Tan</span>
			</li>
		</ul>

		<ul>
			<li id="paper21">
				<a href="paper21.pdf" target="_blank">
					<span class="CEURTITLE">Frequency Dependent Convolutions for Music Tagging</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Vincent Bour</span>
			</li>
		</ul>

		<ul>
			<li id="paper44">
				<a href="paper44.pdf" target="_blank">
					<span class="CEURTITLE">SELAB-HCMUS at MediaEval 2021: Music Theme and Emotion Classification with
						Co-teaching Training Strategy</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Phu-Thinh Pham</span>, <span class="CEURAUTHOR">Minh-Hieu Huynh</span>, <span
					class="CEURAUTHOR">Hai-Dang Nguyen</span>, <span class="CEURAUTHOR">Minh-Triet Tran</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">Insight for Wellbeing</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper8">
				<a href="paper8.pdf" target="_blank">
					<span class="CEURTITLE">Overview of Insight for Wellbeing Task at MediaEval 2021: Cross-Data
						Analytics for Transboundary Haze Prediction</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Asem Kasem</span>, <span class="CEURAUTHOR">Minh-Son Dao</span>, <span
					class="CEURAUTHOR">Effa Nabilla Aziz</span>, <span class="CEURAUTHOR">Duc-Tien Dang-Nguyen</span>,
				<span class="CEURAUTHOR">Cathal Gurrin</span>, <span class="CEURAUTHOR">Minh-Triet Tran</span>, <span
					class="CEURAUTHOR">Thanh-Binh Nguyen</span>, <span class="CEURAUTHOR">Wida Suhaili</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper19">
				<a href="paper19.pdf" target="_blank">
					<span class="CEURTITLE">Air Quality Estimation Using LSTM and An Approach for Data Processing
						Techniques</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Minh-Anh Ton-Thien</span>, <span class="CEURAUTHOR">Chuong Thi Nguyen</span>,
				<span class="CEURAUTHOR">Quang Le</span>, <span class="CEURAUTHOR">Dat Duong</span>
			</li>
		</ul>

		<ul>
			<li id="paper39">
				<a href="paper39.pdf" target="_blank">
					<span class="CEURTITLE">Towards Time Series Forecasting of Cross-Data Analytics for Haze
						Prediction</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Ali Akbar</span>, <span class="CEURAUTHOR">Muhammad Atif Tahir</span>, <span
					class="CEURAUTHOR">Muhammad
					Rafi</span>
			</li>
		</ul>

		<ul>
			<li id="paper46">
				<a href="paper46.pdf" target="_blank">
					<span class="CEURTITLE">Insights for Wellbeing: Predicting PM10 Values Using Stacking Ensemble
						Model</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Huu-Vinh Nguyen</span>, <span class="CEURAUTHOR">Thi Thuy Nga Duong</span>
			</li>
		</ul>

		<ul>
			<li id="paper74">
				<a href="paper74.pdf" target="_blank">
					<span class="CEURTITLE">Multimodal Deep Learning for Transboundary Haze Prediction</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Thinh Nguyen</span>, <span class="CEURAUTHOR">Nazmudeen Mohamed Saleem</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">WaterMM</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper4">
				<a href="paper4.pdf" target="_blank">
					<span class="CEURTITLE">WaterMM: Water Quality in Social Multimedia Task at MediaEval 2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Stelios Andreadis</span>, <span class="CEURAUTHOR">Ilias Gialampoukidis</span>,
				<span class="CEURAUTHOR">Aristeidis Bozas</span>, <span class="CEURAUTHOR">Anastasia Moumtzidou</span>,
				<span class="CEURAUTHOR">Roberto Fiorin</span>, <span class="CEURAUTHOR">Francesca Lombardo</span>,
				<span class="CEURAUTHOR">Anastasios Karakostas</span>, <span class="CEURAUTHOR">Daniele Norbiato</span>,
				<span class="CEURAUTHOR">Stefanos Vrochidis</span>, <span class="CEURAUTHOR">Michele Ferri</span>, <span
					class="CEURAUTHOR">Ioannis
					Kompatsiaris</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper23">
				<a href="paper23.pdf" target="_blank">
					<span class="CEURTITLE">NLP Techniques for Water Quality Analysis in Social Media Content</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Muhammad Asif Ayub</span>, <span class="CEURAUTHOR">Khubaib Ahmad</span>, <span
					class="CEURAUTHOR">Kashif Ahmad</span>, <span class="CEURAUTHOR">Nasir Ahmad</span>, <span
					class="CEURAUTHOR">Ala Al-Fuqaha</span>
			</li>
		</ul>

		<ul>
			<li id="paper29">
				<a href="paper29.pdf" target="_blank">
					<span class="CEURTITLE">Deep Learning Based Framework for Classification of Water Quality in Social
						Media Data</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Muhammad Hanif</span>, <span class="CEURAUTHOR">Ammar Khawer</span>, <span
					class="CEURAUTHOR">Muhammad Atif Tahir</span>, <span class="CEURAUTHOR">Muhammad Rafi</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">Emotional Mario</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper51">
				<a href="paper51.pdf" target="_blank">
					<span class="CEURTITLE">Emotional Mario Task at MediaEval 2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Mathias Lux</span>, <span class="CEURAUTHOR">Michael Riegler</span>, <span
					class="CEURAUTHOR">Steven Hicks</span>, <span class="CEURAUTHOR">Duc Tien Dang Nguyen</span>, <span
					class="CEURAUTHOR">Kristine Jorgensen</span>, <span class="CEURAUTHOR">Vajira Thambawita</span>,
				<span class="CEURAUTHOR">Pål
					Halvorsen</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper20">
				<a href="paper20.pdf" target="_blank">
					<span class="CEURTITLE">Emotional Mario: A Games Analytics Challenge: MediaEval 2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Mutaz Alshaer</span>, <span class="CEURAUTHOR">Kseniia Harshina</span>, <span
					class="CEURAUTHOR">Veit
					Isopp</span>
			</li>
		</ul>

		<ul>
			<li id="paper47">
				<a href="paper47.pdf" target="_blank">
					<span class="CEURTITLE">A Preliminary Assessment of Game Event Detection in Emotional Mario Task at
						MediaEval 2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Van-Tu Ninh</span>, <span class="CEURAUTHOR">Tu-Khiem Le</span>, <span
					class="CEURAUTHOR">Manh-Duy Nguyen</span>, <span class="CEURAUTHOR">Sinéad Smyth</span>, <span
					class="CEURAUTHOR">Graham Healy</span>, <span class="CEURAUTHOR">Cathal Gurrin</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">Emerging News</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper7">
				<a href="paper7.pdf" target="_blank">
					<span class="CEURTITLE">Emerging News task: Detecting emerging events from social media and news
						feeds</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Marc Gallofré Ocaña</span>, <span class="CEURAUTHOR">Andreas L Opdahl</span>,
				<span class="CEURAUTHOR">Duc Tien
					Dang Nguyen</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper66">
				<a href="paper66.pdf" target="_blank">
					<span class="CEURTITLE">Mediaeval 2021 Emerging News: Detection of Emerging News from Live News
						Stream Based on Categorization of News Annotations</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Omar Meriwani</span>
			</li>
		</ul>
		<h3><span class="CEURSESSION">Video Data Privacy</span></h3>
		<h4> Overview paper: </h4>
		<ul>
			<li id="paper9">
				<a href="paper9.pdf" target="_blank">
					<span class="CEURTITLE">Overview Paper for Driving Road Safety Forward: Video Data Privacy Task at
						MediaEval 2021</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Alex Liu</span>, <span class="CEURAUTHOR">Andrew Boka</span>, <span
					class="CEURAUTHOR">Asal Baragchizadeh</span>, <span class="CEURAUTHOR">Chandini Muthukumar</span>,
				<span class="CEURAUTHOR">Victoria Huang</span>, <span class="CEURAUTHOR">Arjun Sarup</span>, <span
					class="CEURAUTHOR">Regina Ferrell</span>, <span class="CEURAUTHOR">Gerald Friedland</span>, <span
					class="CEURAUTHOR">Thomas Karnowski</span>, <span class="CEURAUTHOR">Meredith Lee</span>, <span
					class="CEURAUTHOR">Alice
					O'Toole</span>
			</li>
		</ul>
		<h4> Working notes papers: </h4>
		<ul>
			<li id="paper72">
				<a href="paper72.pdf" target="_blank">
					<span class="CEURTITLE">HCMUS at MediaEval 2021: Facial Data De-identification with Adversarial
						Generation and Perturbation Methods</span>
				</a>
				<br>
				<span class="CEURAUTHOR">Minh-Khoi Pham</span>, <span class="CEURAUTHOR">Thang-Long Nguyen-Ho</span>,
				<span class="CEURAUTHOR">Trong-Thang Pham</span>, <span class="CEURAUTHOR">Hai-Tuan Ho-Nguyen</span>,
				<span class="CEURAUTHOR">Hai-Dang Nguyen</span>, <span class="CEURAUTHOR">Minh-Triet Tran</span>
			</li>
		</ul>

	</div>

	<hr>
	<span class="unobtrusive">
		2022-06-07: submitted by Steven Hicks,
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			HREF="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons CC0</A><br>
		<span class="CEURPUBDATE">2022-08-10</span>: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN
		1613-0073)
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