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ORCIDMediaEval 2019: Sophia Antipolis, France
- Martha A. Larson, Steven Alexander Hicks, Mihai Gabriel Constantin, Benjamin Bischke, Alastair Porter, Peijian Zhao, Mathias Lux, Laura Cabrera Quiros, Jordan Calandre, Gareth Jones:
Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia Antipolis, France, 27-30 October 2019. CEUR Workshop Proceedings 2670, CEUR-WS.org 2020
Multimedia Satellite Task Flood Severity Estimation
- Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov:
The Multimedia Satellite Task at MediaEval 2019. - Mir Murtaza, Muhammad Hanif, Muhammad Atif Tahir, Muhammad Rafi:
Ensemble and Inference based Methods for Flood Severity Estimation Using Visual Data. - Khanh-An Quan-Chi, Tan-Cong Nguyen, Vinh-Tiep Nguyen, Minh-Triet Tran:
Flood Event Analysis Base on Pose Estimation and Water-Related Scene Recognition. - Stelios Andreadis, Marios Bakratsas, Panagiotis Giannakeris, Anastasia Moumtzidou, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris:
Multimedia Analysis Techniques for Flood Detection Using Images, Articles and Satellite Imagery. - Mirko Zaffaroni, Laura Lopez-Fuentes, Alessandro Farasin, Paolo Garza, Harald Skinnemoen:
AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data. - Pierrick Bruneau, Thomas Tamisier:
Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content. - Hariny Ganapathy, Geetika Bandlamudi, Yamini L, Bhuvana J, T. T. Mirnalinee:
Deep Learning Models for Estimation of Flood Severity Using Multimodal and Satellite Images. - Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha:
Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite Sequences. - Yu Feng, Shumin Tang, Hao Cheng, Monika Sester:
Flood Level Estimation from News Articles and Flood Detection from Satellite Image Sequences. - Dan Bîna, George-Alexandru Vlad, Cristian Onose, Dumitru-Clementin Cercel:
Flood Severity Estimation in News Articles Using Deep Learning Approaches. - Julia Strebl, Djordje Slijepcevic, Armin Kirchknopf, Muntaha Sakeena, Markus Seidl, Matthias Zeppelzauer:
Estimation of Flood Level from Social Media Images. - Pallavi Jain, Bianca Schoen-Phelan, Robert Ross:
MediaEval2019: Flood Detection in Time Sequence Satellite Images. - Benjamin Bischke, Simon Brugman, Patrick Helber:
Flood Severity Estimation from Online News Images and Multi-Temporal Satellite Images Using Deep Neural Networks.
Predicting Media Memorability
- Mihai Gabriel Constantin, Bogdan Ionescu, Claire-Hélène Demarty, Ngoc Q. K. Duong, Xavier Alameda-Pineda, Mats Sjöberg:
The Predicting Media Memorability Task at MediaEval 2019. - David Azcona, Enric Moreu, Feiyan Hu, Tomás E. Ward, Alan F. Smeaton:
Predicting Media Memorability Using Ensemble Models. - Le-Vu Tran, Vinh-Loc Huynh, Minh-Triet Tran:
Predicting Media Memorability Using Deep Features with Attention and Recurrent Network. - Alison Reboud, Ismail Harrando, Jorma Laaksonen, Danny Francis, Raphaël Troncy, Héctor Laria Mantecón:
Combining Textual and Visual Modeling for Predicting Media Memorability. - Samuel Felipe dos Santos, Jurandy Almeida:
GIBIS at MediaEval 2019: Predicting Media Memorability Task. - Alexander Viola, Sejong Yoon:
A Hybrid Approach for Video Memorability Prediction. - Shuai Wang, Linli Yao, Jieting Chen, Qin Jin:
RUC at MediaEval 2019: Video Memorability Prediction Based on Visual Textual and Concept Related Features. - Roberto Leyva, Faiyaz Doctor, Alba Garcia Seco de Herrera, Sohail Sahab:
Multimodal Deep Features Fusion for Video Memorability Prediction. - Mihai Gabriel Constantin, Chen Kang, Gabriela Dinu, Frédéric Dufaux, Giuseppe Valenzise, Bogdan Ionescu:
Using Aesthetics and Action Recognition-Based Networks for the Prediction of Media Memorability.
Emotion and Theme Recognition in Music Using Jamendo
- Shengzhou Yi, Xueting Wang, Toshihiko Yamasaki:
Emotion and Theme Recognition of Music Using Convolutional Neural Networks. - Shahin Amiriparian, Maurice Gerczuk, Eduardo Coutinho, Alice Baird, Sandra Ottl, Manuel Milling, Björn W. Schuller:
Emotion and Themes Recognition in Music Utilising Convolutional and Recurrent Neural Networks. - Hsiao-Tzu Hung, Yu-Hua Chen, Maximilian Mayerl, Michael Vötter, Eva Zangerle, Yi-Hsuan Yang:
MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach. - Dmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won:
MediaEval 2019: Emotion and Theme Recognition in Music Using Jamendo. - Maximilian Mayerl, Michael Vötter, Hsiao-Tzu Hung, Bo-Yu Chen, Yi-Hsuan Yang, Eva Zangerle:
Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks. - Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-Zadeh, Gerhard Widmer:
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs. - Manoj Sukhavasi, Sainath Adapa:
Music Theme Recognition Using CNN and Self-Attention.
Medico Medical Multimedia
- Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler:
Medico Multimedia Task at MediaEval 2019. - Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler:
Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features. - Steven Alexander Hicks, Trine B. Haugen, Pål Halvorsen, Michael Riegler:
Using Deep Learning to Predict Motility and Morphology of Human Sperm. - Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and Morphology. - Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video Analysis. - Jon-Magnus Rosenblad, Steven Alexander Hicks, Håkon Kvale Stensland, Trine B. Haugen, Pål Halvorsen, Michael Riegler:
Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality.
Insight for Wellbeing Multimodal personal health lifelog data analysis
- Minh-Son Dao, Peijiang Zhao, Tomohiro Sato, Koji Zettsu, Duc-Tien Dang-Nguyen, Cathal Gurrin, Ngoc-Thanh Nguyen:
Overview of MediaEval 2019: Insights for Wellbeing TaskMultimodal Personal Health Lifelog Data Analysis. - Tu-Khiem Le, Van-Tu Ninh, Liting Zhou, Duc-Tien Dang-Nguyen, Cathal Gurrin:
DCU Team at the 2019 Insight for Wellbeing Task: Multimodal Personal Health Lifelog Data Analysis. - Hoang-Anh Le, Thang-Long Nguyen-Ho, Minh-Triet Tran:
HCMUS at Insight for Wellbeing Task 2019: Multimodal Personal Health Lifelog Data Analysis with Inference from Multiple Sources and Attributes. - Qi Huang, Ailin Sheng, Lei Pang, Xiaoyong Wei, Ramesh C. Jain:
Healthism@MediaEval 2019 - Insights for Wellbeing Task: Factors Related to Subjective and Objective Health. - Loc Tai Nguyen Tan, Minh-Tam Nguyen, Dang-Hieu Nguyen:
Predicting Missing Data by Using Multimodal Data Analytics. - Dang-Hieu Nguyen, Minh-Tam Nguyen, Loc Tai Nguyen Tan:
Leveraging Egocentric and Surrounding Environment Data to Adaptively Measure a Personal Air Qality Index.
Pixel Privacy
- Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Pixel Privacy 2019: Protecting Sensitive Scene Information in Images. - Panagiotis Linardos, Suzanne Little, Kevin McGuinness:
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. - Hung Vinh Tran, Trong-Thang Pham, Hai-Tuan Ho-Nguyen, Hoai-Lam Nguyen-Hy, Xuan-Vy Nguyen, Thang-Long Nguyen-Ho, Minh-Triet Tran:
HCMUS at Pixel Privacy 2019: Scene Category Protection with Back Propagation and Image Enhancement. - Zhuoran Liu, Zhengyu Zhao:
Adversarial Photo Frame: Concealing Sensitive Scene Information of Social Images in a User-Acceptable Manner. - Sam Sweere, Zhuoran Liu, Martha A. Larson:
Maintaining Perceptual Faithfulness of Adversarial Image Examples by Leveraging Color Variance. - Muhammad Bilal Sakha:
Image Enhancement and Adversarial Attack Pipeline for Scene Privacy Protection.
GameStory Video Game Analytics Challenge
- Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Johanna Pirker, Martin Potthast, Pål Halvorsen:
GameStory Task at MediaEval 2019. - Van-Tu Ninh, Tu-Khiem Le, Duc-Tien Dang-Nguyen, Cathal Gurrin:
Replay Detection and Multi-stream Synchronization in CS: GO Game Streams Using Content-Based Image Retrieval and Image Signature Matching. - Yasufumi Moriya, Gareth J. F. Jones:
DCU-ADAPT at MediaEval 2019: GameStory. - Kevin Mekul:
Automated Replay Detection and Multi-Stream Synchronization.
No-audio Multimodal Speech Detection
- Ekin Gedik, Laura Cabrera Quiros, Hayley Hung:
No-Audio Multimodal Speech Detection Task at MediaEval 2019. - Panagiotis Giannakeris, Stefanos Vrochidis, Ioannis Kompatsiaris:
Multimodal Fusion of Appearance Features, Optical Flow and Accelerometer Data for Speech Detection. - Jose Vargas Quiros, Hayley Hung:
CNNs and Fisher Vectors for No-Audio Multimodal Speech Detection. - Liandong Li, Zhuo Hao, Bo Sun:
Combining Visual and Movement Modalities for No-audio Speech Setection.
Sports Video Annotation Detection of Strokes in Table Tennis
- Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, Jordan Calandre, Julien Morlier:
Sports Video Annotation: Detection of Strokes in Table Tennis Task for MediaEval 2019. - Siddharth Sriraman, Srinath Srinivasan, Vishnu K. Krishnan, Bhuvana J, T. T. Mirnalinee:
MediaEval 2019: LRCNs for Stroke Detection in Table Tennis. - Jordan Calandre, Renaud Péteri, Laurent Mascarilla:
Optical Flow Singularities for Sports Video Annotation: Detection of Strokes in Table Tennis. - Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier:
Siamese Spatio-Temporal Convolutional Neural Network for Stroke Classification in Table Tennis Games.
Eyes and Ears Together
- Yasufumi Moriya, Ramon Sanabria, Florian Metze, Gareth J. F. Jones:
MediaEval 2019: Eyes and Ears Together. - Gia-Han Diep, Duc-Tuan Luu, Son-Thanh Tran-Nguyen, Minh-Triet Tran:
HCMUS at Eyes and Ears Together 2019: Entity Localization with Guided Word Embedding and Human Pose Estimation Approach. - Yasufumi Moriya, Gareth J. F. Jones:
DCU-ADAPT at MediaEval 2019: Eyes and Ears Together.
Multimedia Recommender Systems
- Yashar Deldjoo, Benny Kille, Markus Schedl, Andreas Lommatzsch, Jialie Shen:
The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval. - Hossein A. Rahmani, Yashar Deldjoo, Markus Schedl:
A Regression Approach to Movie Rating Prediction Using Multimedia Content and Metadata.
MediaEval Letters
- Simon Brugman, Martha A. Larson:
Scene Change Task: Take me to Paris.
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