CEUR-WS.org/Vol-3583 - MediaEval Multimedia Benchmark Workshop 2022
Vol-3583
urn:nbn:de:0074-3583-1
Copyright © 2023 for
the individual papers by the papers' authors.
Copyright ©
2023
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
CC BY 4.0
MediaEval 2022
Multimedia Benchmark Workshop
Working Notes Proceedings of the MediaEval 2022 Workshop
Bergen, Norway and Online, 12-13 January 2023
Edited by
Steven Hicks
(1)
Alba García Seco De Herrera
(2)
Johannes Langguth
(3, 4)
Andreas Lommatzsch
(5)
Stelios Andreadis
(6)
Minh-Son Dao
(7)
Pierre-Etienne Martin
(8)
Ali Hürriyetoğlu
(9)
Vajira Thambawita
(1)
Tor-Arne Nordmo
(10)
Romain Vuillemot
(11)
Martha Larson
(12)
(1) SimulaMet, Norway
(2) University of Essex, United Kingdom
(3) Simula Research Laboratory, Norway
(4) University of Bergen, Norway
(5) Technische Universität Berlin, Germany
(6) Information Technologies Institute - Centre for Research and Technology Hellas, Greece
(7) National Institute of Information and Communications Technology, Japan
(8) Max Planck Institute for Evolutionary Anthropology, Germany
(9) KNAW Humanities Cluster DHLab, Netherlands
(10) University of Tromsø, Norway
(11) Ecole Centrale de Lyon, France
(12) Radboud University, Netherlands
Table of Contents
Memorability
Overview paper:
Overview of The MediaEval 2022 Predicting Video Memorability Task
Lorin Sweeney
Mihai Gabriel Constantin
Claire-Hélène Demarty
Camillo Fosco
Alba Garcia Seco de Herrera
Sebastian Halder
Graham Healy
Bogdan Ionescu
Ana Matran-Fernandez
Alan F. Smeaton
Mushfika Sultana
Working notes papers:
Modelling of Video Memorability using Ensemble Learning and Transformers
Muhammad Mustafa Ali Usmani
Sumaiyah Zahid
Muhammad Atif Tahir
AIMultimediaLab at MediaEval 2022: Predicting Media Memorability Using Video Vision Transformers and Augmented Memorable Moments
Mihai Gabriel Constantin
Bogdan Ionescu
Video Memorability Prediction using Deep Features and Loss-based Memorability Distribution Estimation
Safaa Azzakhnini
Olfa Ben-Ahmed
Christine Fernandez-Maloigne
Predicting Video Memorability Using a Model Pretrained with Natural Language Supervision
Mirko Agarla
Luigi Celona
Raimondo Schettini
Understanding Media Memorability From Event-Related Potential Records And Visual Semantics
Ricardo Kleinlein
Enrique Rodríguez Sebastián
Fernando Fernández-Martínez
Multi-model Estimators and Ensemble-based Regressors for Predicting Video Memorability
Gokul Prakash R
Bhuvana Jayaraman
Eeswara Anvesh Chodisetty
Arjun Mukesh
Mirnalinee T T
Quest for insight papers:
Textual Analysis for Video Memorability Prediction
Camille Guinaudeau
Andreu Girbau Xalabarder
Visual Recognition of the Memento10k dataset: A P300 component ERP study
Rachelle Hamelink
Quest for Insight: Predicting Memorability based on Frequency of N-Grams
Muhammad Mustafa Ali Usmani
Sumaiyah Zahid
Muhammad Atif Tahir
Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability
Lorin Sweeney
Graham Healy
Alan Smeaton
FakeNews
Overview paper:
Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022
Konstantin Pogorelov
Daniel Thilo Schroeder
Stefan Brenner
Asep Maulana
Johannes Langguth
Working notes papers:
BERT Based Fake News Detection Model
Yang Zhang
Yi Shao
Wenbo Wan
Jing Li
Jiande Sun
Xuan Zhang
Identifying Misinformation Spreaders: A Graph-Based Semi-Supervised Learning Approach
Atta Ullah
Rabeeh Ayaz Abbasi
Akmal Khattak
Anwar Said
Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022
Asep Maulana
Konstantin Pogorelov
Daniel Thilo Schroeder
Johannes Langguth
Transformers and GNNs for Fake News Detection
Stefano Bocconi
Alessandro Patruno
Andrey Malakhov
Representational Learning for the Detection of COVID Related Conspiracy Spreaders in Online Platforms
Adrian Giron-Jimenez
Angel Panizo
Lledot
Javier Torregrosa
David Camacho
Classifying Text-Based Conspiracy Tweets related to COVID-19 using
Contextualized Word Embeddings
Abdul Rehman
Rabeeh Ayaz Abbasi
Irfan Ul Haq Qureshi
Akmal Khattak
Evaluating TF-IDF and Transformers-based models for Detecting COVID-19 related Conspiracies
Rohullah Akbari
Detection of COVID-19-Related Conspiracy Theories in Tweets using Transformer-Based Models and Node Embedding Techniques
Youri Peskine
Paolo Papotti
Raphaël Troncy
Tackling Covid-19 Conspiracies on Twitter using BERT Ensembles, GPT-3 Augmentation, and Graph NNs
Damir Korenčić
Ivan Grubišić
Gretel Liz De La Peña Sarracén
Alejandro Hector Toselli
Berta Chulvi
Paolo Rosso
NewsImages
Overview paper:
News Images in MediaEval 2022
Benjamin Kille
Andreas Lommatzsch
Özlem Özgöbek
Mehdi Elahi
Duc Tien Dang Nguyen
Working notes papers:
Cross-modal Networks and Dual Softmax Operation for MediaEval NewsImages
2022
Damianos Galanopoulos
Vasileios Mezaris
Image-Text Re-Matching with Zero-shot and Finetuning of CLIP
Yuta Fukatsu
Masaki Aono
CLIP Pre-trained Models for Cross-modal Retrieval in NewsImages 2022
Yang Zhang
Yi Shao
Wenbo Wan
Jing Li
Jiande Sun
Re-matching Images and News Using CLIP Pretrained Model
Huu-Nghia Vu
Hai-Dang Nguyen
Minh-Triet Tran
Textual Concept Expansion for Text-Image Matching within Online News Content
Mingliang Liang
Martha Larson
An Ensemble Approach Towards Correlating Articles and their Corresponding Images
Sudhanva Rajesh
Ashwath Krishnan
Bhaskarjyoti Das
DisasterMM
Overview paper:
DisasterMM: Multimedia Analysis of Disaster-Related Social Media Data Task at MediaEval 2022
Stelios Andreadis
Aristeidis Bozas
Ilias Gialampoukidis
Anastasia Moumtzidou
Roberto Fiorin
Francesca Lombardo
Thanassis Mavropoulos
Daniele Norbiato
Stefanos Vrochidis
Michele Ferri
Ioannis Kompatsiaris
Working notes papers:
Model Fusion for Efficient Flood-Related Twitter Posts Detection
Stelios Kontogiannis
Georgia Christodoulou
Konstantinos Avgerinakis
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques
Muhammad Suleman
Muhammad Asif
Tayyab Zamir
Ayaz Mehmood
Jebran Khan
Nasir Ahmad
Kashif Ahmad
Understanding Fine-tuned BERT Models for Flood Location Extraction on Twitter Data
Jane Arleth Dela Cruz
Iris Hendrickx
Martha Larson
HFFD: Hybrid Fusion Based Multimodal Flood Relevance Detection
Yi Shao
Yang Zhang
Ye Jiang
Wenbo Wan
Jing Li
Jiande Sun
Relevance Classification of Flood-related Twitter Posts via Multiple Transformers
Wisal Mukhtiar
Waliiya Rizwan
Aneela Habib
Yasir Saleem Afridi
Laiq Hassan
Kashif Ahmad
Urban Air Quality
Overview paper:
Overview of MediaEval 2022 Urban Air: Urban Life and Air Pollution
Minh-Son Dao
Thanh-Hai Dang
Tan Loc Nguyen Tai
Thanh Binh Nguyen
Duc Tien Dang Nguyen
Working notes papers:
HCMUS in MediaEval 2022 - Urban Air - Periodic frequent pattern discovery
Duc-Huy Tran
Vinh-Thuyen Nguyen-Truong
Xuan-Cuong Le
Minh-Triet Tran
Hai-Dang Nguyen
Forecasting Long-Term Urban Air Quality Index using Multi-Model
Khanh-Linh Vo
Gia-Nghi Phuc-Nguyen
Nhat-Hao Pham
Tuong-Nghiem Diep
Time Series Prediction Of AQI using Facebook Prophet and YOLOV5
Omer Qureshi
Muhammad Osaid
Muhammad Atif Tahir
Muhammad Nouman Durrani
Managing Large Dataset Gaps in Urban Air Quality Prediction: DCU-Insight-AQ at MediaEval 2022
Dinh Viet Cuong
Phuc H. Le-Khac
Adam Stapleton
Elke Eichlemann
Mark Roantree
Alan Smeaton
CNN-GRU for Air Quality Index Forecasting
Van-Tien Nguyen
Hai-Dang Nguyen
Minh-Triet Tran
MUSTI
Overview paper:
MUSTI - Multimodal Understanding of Smells in Texts and Images at MediaEval 2022
Ali Hürriyetoğlu
Teresa Paccosi
Stefano Menini
Mathias Zinnen
Pasquale Lisena
Kiymet Akdemir
Raphaël Troncy
Marieke van Erp
Working notes papers:
Multilingual Text-Image Olfactory Object Matching Based on Object Detection
Yi Shao
Yang Zhang
Wenbo Wan
Jing Li
Jiande Sun
Multimodal and Multilingual Understanding of Smells using VilBERT and mUNITER
Kiymet Akdemir
Ali Hürriyetoğlu
Raphaël Troncy
Teresa Paccosi
Stefano Menini
Mathias Zinnen
Vincent Christlein
SportsVideo
Overview paper:
Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022
Pierre-Etienne Martin
Jordan Calandre
Boris Mansencal
Jenny Benois-Pineau
Renaud Péteri
Laurent Mascarilla
Julien Morlier
Working notes papers:
Baseline Method for the Sport Task of MediaEval 2022 with 3D CNNs using Attention Mechanism
Pierre-Etienne Martin
Fine-Grained Action Detection with RGB and Pose Information using Two Stream
Convolutional Networks
Leonard Hacker
Finn Bartels
Pierre-Etienne Martin
Medico
Overview paper:
Medico Multimedia Task at MediaEval 2022: Transparent Tracking of
Spermatozoa
Vajira Thambawita
Steven Hicks
Andrea Storås
Jorunn Andersen
Oliwia Witczak
Trine B. Haugen
Hugo Hammer
Thu Nguyen
Pål Halvorsen
Michael Riegler
Working notes papers:
Tail-Aware Sperm Analysis for Transparent Tracking of Spermatozoa
Tuan-Luc Huynh
Huu-Hung Nguyen
Xuan-Nhat Hoang
Thao Thi Phuong Dao
Tien-Phat Nguyen
Viet-Tham Huynh
Hai-Dang Nguyen
Trung-Nghia Le
Minh-Triet Tran
Tracking of Spermatozoa by YOLOv5 Detection and StrongSORT with OSNet
Tracker
Martin Kosela
Jakub Aszyk
Mateusz Jarek
Jakub Klimek
Tomasz Prokop
Njord
Overview paper:
NjordVid: A Fishing Trawler Video Analytics Task
Tor-Arne Nordmo
Aril Ovesen
Håvard Johansen
Dag Johansen, Michael
Riegler
Quest for insight papers:
Addressing Generalization Failure in Deep Detection Models for Fishing
Trawler
Video Analytics
Birk Torpmann-Hagen
Pål Halvorsen
Michael Riegler
Dag Johansen
SwimTrack
Overview paper:
SwimTrack: Swimmers and Stroke Rate Detection in Elite Race Videos
Nicolas Jacquelin
Jaunet Théo
Romain Vuillemot
Stefan Duffner
2023-11-16: submitted by Steven Hicks, metadata incl. bibliographic data published under
Creative Commons CC0
2023-12-09
: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |
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