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ORCIDMediaEval 2022: Bergen, Norway
- Steven Hicks, Alba García Seco de Herrera, Johannes Langguth, Andreas Lommatzsch, Stelios Andreadis, Minh-Son Dao, Pierre-Etienne Martin, Ali Hürriyetoglu, Vajira Thambawita, Tor-Arne S. Nordmo, Romain Vuillemot, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway and Online, 12-13 January 2023. CEUR Workshop Proceedings 3583, CEUR-WS.org 2023
Memorability
- Lorin Sweeney, Mihai Gabriel Constantin, Claire-Hélène Demarty, Camilo Fosco, Alba Garcia Seco de Herrera, Sebastian Halder, Graham Healy, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Mushfika Sultana:
Overview of The MediaEval 2022 Predicting Video Memorability Task. - Muhammad Mustafa Ali Usmani, Sumaiyah Zahid, Muhammad Atif Tahir:
Modelling of Video Memorability using Ensemble Learning and Transformers. - Mihai Gabriel Constantin, Bogdan Ionescu:
AIMultimediaLab at MediaEval 2022: Predicting Media Memorability Using Video Vision Transformers and Augmented Memorable Moments. - Safaa Azzakhnini, Olfa Ben Ahmed, Christine Fernandez-Maloigne:
Video Memorability Prediction using Deep Features and Loss-based Memorability Distribution Estimation. - Mirko Agarla, Luigi Celona, Raimondo Schettini:
Predicting Video Memorability Using a Model Pretrained with Natural Language Supervision. - Ricardo Kleinlein, Enrique Rodríguez Sebastián, Fernando Fernández Martínez:
Understanding Media Memorability From Event-Related Potential Records And Visual Semantics. - Gokul Prakash R, Bhuvana Jayaraman, Eeswara Anvesh Chodisetty, Arjun Mukesh, Mirnalinee T. T:
Multi-model Estimators and Ensemble-based Regressors for Predicting Video Memorability. - Camille Guinaudeau, Andreu Girbau Xalabarder:
Textual Analysis for Video Memorability Prediction. - Rachelle Hamelink:
Visual Recognition of the Memento10k dataset: A P300 component ERP study. - Muhammad Mustafa Ali Usmani, Sumaiyah Zahid, Muhammad Atif Tahir:
Quest for Insight: Predicting Memorability based on Frequency of N-Grams. - Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability.
FakeNews
- Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Asep Maulana, Johannes Langguth:
Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. - Yang Zhang, Yi Shao, Wenbo Wan, Jing Li, Jiande Sun, Xuan Zhang:
BERT Based Fake News Detection Model. - Atta Ullah, Rabeeh Ayaz Abbasi, Akmal Saeed Khattak, Anwar Said:
Identifying Misinformation Spreaders: A Graph-Based Semi-Supervised Learning Approach. - Asep Maulana, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth:
Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022. - Stefano Bocconi, Alessandro Patruno, Andrey Malakhov:
Transformers and GNNs for Fake News Detection. - Adrian Giron-Jimenez, Ángel Panizo-LLedot, Javier Torregrosa, David Camacho:
Representational Learning for the Detection of COVID Related Conspiracy Spreaders in Online Platforms. - Abdul Rehman, Rabeeh Ayaz Abbasi, Irfan ul Haq Qureshi, Akmal Saeed Khattak:
Classifying Text-Based Conspiracy Tweets related to COVID-19 using Contextualized Word Embeddings. - Rohullah Akbari:
Evaluating TF-IDF and Transformers-based models for Detecting COVID-19 related Conspiracies. - Youri Peskine, Paolo Papotti, Raphaël Troncy:
Detection of COVID-19-Related Conspiracy Theories in Tweets using Transformer-Based Models and Node Embedding Techniques. - Damir Korencic, Ivan Grubisic, Gretel Liz De la Peña Sarracén, Alejandro Héctor Toselli, Berta Chulvi, Paolo Rosso:
Tackling Covid-19 Conspiracies on Twitter using BERT Ensembles, GPT-3 Augmentation, and Graph NNs.
NewsImages
- Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen:
News Images in MediaEval 2022. - Damianos Galanopoulos, Vasileios Mezaris:
Cross-modal Networks and Dual Softmax Operation for MediaEval NewsImages 2022. - Yuta Fukatsu, Masaki Aono:
Image-Text Re-Matching with Zero-shot and Finetuning of CLIP. - Yang Zhang, Yi Shao, Wenbo Wan, Jing Li, Jiande Sun:
CLIP Pre-trained Models for Cross-modal Retrieval in NewsImages 2022. - Huu-Nghia Vu, Hai-Dang Nguyen, Minh-Triet Tran:
Re-matching Images and News Using CLIP Pretrained Model. - Mingliang Liang, Martha A. Larson:
Textual Concept Expansion for Text-Image Matching within Online News Content. - Sudhanva Rajesh, Ashwath Krishnan, Bhaskarjyoti Das:
An Ensemble Approach Towards Correlating Articles and their Corresponding Images.
DisasterMM
- Stelios Andreadis, Aristeidis Bozas, Ilias Gialampoukidis, Anastasia Moumtzidou, Roberto Fiorin, Francesca Lombardo, Thanassis Mavropoulos, Daniele Norbiato, Stefanos Vrochidis, Michele Ferri, Ioannis Kompatsiaris:
DisasterMM: Multimedia Analysis of Disaster-Related Social Media Data Task at MediaEval 2022. - Stelios Kontogiannis, Georgia Christodoulou, Konstantinos Avgerinakis:
Model Fusion for Efficient Flood-Related Twitter Posts Detection. - Muhammad Suleman, Muhammad Asif Ayub, Tayyab Zamir, Ayaz Mehmood, Jebran Khan, Nasir Ahmad, Kashif Ahmad:
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques. - Jane Arleth Dela Cruz, Iris Hendrickx, Martha A. Larson:
Understanding Fine-tuned BERT Models for Flood Location Extraction on Twitter Data. - Yi Shao, Yang Zhang, Ye Jiang, Wenbo Wan, Jing Li, Jiande Sun:
HFFD: Hybrid Fusion Based Multimodal Flood Relevance Detection. - Wisal Mukhtiar, Waliiya Rizwan, Aneela Habib, Yasir Saleem Afridi, Laiq Hassan, Kashif Ahmad:
Relevance Classification of Flood-related Twitter Posts via Multiple Transformers.
Urban Air Quality
- Minh-Son Dao, Thanh-Hai Dang, Tan-Loc Nguyen-Tai, Thanh Binh Nguyen, Duc-Tien Dang-Nguyen:
Overview of MediaEval 2022 Urban Air: Urban Life and Air Pollution. - Duc-Huy Tran, Vinh-Thuyen Nguyen-Truong, Xuan-Cuong Le, Minh-Triet Tran, Hai-Dang Nguyen:
HCMUS in MediaEval 2022 - Urban Air - Periodic frequent pattern discovery. - Khanh-Linh Vo, Gia-Nghi Phuc-Nguyen, Nhat-Hao Pham, Tuong-Nghiem Diep:
Forecasting Long-Term Urban Air Quality Index using Multi-Model. - Omer Qureshi, Muhammad Osaid, Muhammad Atif Tahir, Muhammad Nouman Durrani:
Time Series Prediction Of AQI using Facebook Prophet and YOLOV5. - Dinh Viet Cuong, Phuc H. Le-Khac, Adam Stapleton, Elke Eichelmann, Mark Roantree, Alan F. Smeaton:
Managing Large Dataset Gaps in Urban Air Quality Prediction: DCU-Insight-AQ at MediaEval 2022. - Van-Tien Nguyen, Hai-Dang Nguyen, Minh-Triet Tran:
CNN-GRU for Air Quality Index Forecasting.
MUSTI
- Ali Hürriyetoglu, Teresa Paccosi, Stefano Menini, Mathias Zinnen, Pasquale Lisena, Kiymet Akdemir, Raphaël Troncy, Marieke van Erp:
MUSTI - Multimodal Understanding of Smells in Texts and Images at MediaEval 2022. - Yi Shao, Yang Zhang, Wenbo Wan, Jing Li, Jiande Sun:
Multilingual Text-Image Olfactory Object Matching Based on Object Detection. - Kiymet Akdemir, Ali Hürriyetoglu, Raphaël Troncy, Teresa Paccosi, Stefano Menini, Mathias Zinnen, Vincent Christlein:
Multimodal and Multilingual Understanding of Smells using VilBERT and mUNITER.
SportsVideo
- Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022. - Pierre-Etienne Martin:
Baseline Method for the Sport Task of MediaEval 2022 with 3D CNNs using Attention Mechanism. - Leonard Hacker, Finn Bartels, Pierre-Etienne Martin:
Fine-Grained Action Detection with RGB and Pose Information using Two Stream Convolutional Networks.
Medico
- Vajira Thambawita, Steven Hicks, Andrea M. Storås, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Hammer, Thu Nguyen, Pål Halvorsen, Michael Riegler:
Medico Multimedia Task at MediaEval 2022: 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:
Tail-Aware Sperm Analysis for Transparent Tracking of Spermatozoa. - Martin Kosela, Jakub Aszyk, Mateusz Jarek, Jakub Klimek, Tomasz Prokop:
Tracking of Spermatozoa by YOLOv5 Detection and StrongSORT with OSNet Tracker.
Njord
- Tor-Arne S. Nordmo, Aril B. Ovesen, Håvard D. Johansen, Dag Johansen, Michael Riegler:
NjordVid: A Fishing Trawler Video Analytics Task. - Birk Torpmann-Hagen, Pål Halvorsen, Michael Riegler, Dag Johansen:
Addressing Generalization Failure in Deep Detection Models for Fishing Trawler Video Analytics.
SwimTrack
- Nicolas Jacquelin, Jaunet Théo, Romain Vuillemot, Stefan Duffner:
SwimTrack: Swimmers and Stroke Rate Detection in Elite Race Videos.
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