Table of Contents

• Estimation of Flood Level from Social Media ImagesJulia Strebl, Djordje Slijepcevic, Armin Kirchknopf, Muntaha Sakeena, Markus Seidl, Matthias Zeppelzauer. [doi]
• Using 2D and 3D Convolutional Neural Networks to Predict Semen QualityJon-Magnus Rosenblad, Steven Alexander Hicks, Håkon Kvale Stensland, Trine B. Haugen, Pål Halvorsen, Michael Riegler. [doi]
• Emotion and Theme Recognition of Music Using Convolutional Neural NetworksShengzhou Yi, Xueting Wang, Toshihiko Yamasaki. [doi]
• The Predicting Media Memorability Task at MediaEval 2019Mihai Gabriel Constantin, Bogdan Ionescu, Claire-Hélène Demarty, Ngoc Q. K. Duong, Xavier Alameda-Pineda, Mats Sjöberg. [doi]
• Leveraging Egocentric and Surrounding Environment Data to Adaptively Measure a Personal Air Qality IndexDang-Hieu Nguyen, Minh Tam Nguyen, Loc Tai Nguyen Tan. [doi]
• Scene Change Task: Take me to ParisSimon Brugman, Martha A. Larson. [doi]
• Multimodal Fusion of Appearance Features, Optical Flow and Accelerometer Data for Speech DetectionPanagiotis Giannakeris, Stefanos Vrochidis, Ioannis Kompatsiaris. [doi]
• Predicting Media Memorability Using Ensemble ModelsDavid Azcona, Enric Moreu, Feiyan Hu, Tomás E. Ward, Alan F. Smeaton. [doi]
• Multimedia Analysis Techniques for Flood Detection Using Images, Articles and Satellite ImageryStelios Andreadis, Marios Bakratsas, Panagiotis Giannakeris, Anastasia Moumtzidou, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris. [doi]
• HCMUS at Eyes and Ears Together 2019: Entity Localization with Guided Word Embedding and Human Pose Estimation ApproachGia-Han Diep, Duc-Tuan Luu, Son-Thanh Tran-Nguyen, Minh-Triet Tran. [doi]
• Emotion and Themes Recognition in Music Utilising Convolutional and Recurrent Neural NetworksShahin Amiriparian, Maurice Gerczuk, Eduardo Coutinho, Alice Baird, Sandra Ottl, Manuel Milling, Björn W. Schuller. [doi]
• RUC at MediaEval 2019: Video Memorability Prediction Based on Visual Textual and Concept Related FeaturesShuai Wang, Linli Yao, Jieting Chen, Qin Jin. [doi]
• Medico Multimedia Task at MediaEval 2019Steven 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. [doi]
• DCU-ADAPT at MediaEval 2019: Eyes and Ears TogetherYasufumi Moriya, Gareth J. F. Jones. [doi]
• A Hybrid Approach for Video Memorability PredictionAlexander Viola, Sejong Yoon. [doi]
• DCU Team at the 2019 Insight for Wellbeing Task: Multimodal Personal Health Lifelog Data AnalysisTu-Khiem Le, Van-Tu Ninh, Liting Zhou, Duc-Tien Dang-Nguyen, Cathal Gurrin. [doi]
• The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEvalYashar Deldjoo, Benny Kille, Markus Schedl, Andreas Lommatzsch, Jialie Shen. [doi]
• Flood Event Analysis Base on Pose Estimation and Water-Related Scene RecognitionKhanh-An Quan-Chi, Tan-Cong Nguyen, Vinh-Tiep Nguyen, Minh-Triet Tran. [doi]
• A Regression Approach to Movie Rating Prediction Using Multimedia Content and MetadataHossein A. Rahmani, Yashar Deldjoo, Markus Schedl. [doi]
• Pixel Privacy 2019: Protecting Sensitive Scene Information in ImagesZhuoran Liu, Zhengyu Zhao 0001, Martha A. Larson. [doi]
• MediaEval 2019: Emotion and Theme Recognition in Music Using JamendoDmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won. [doi]
• Maintaining Perceptual Faithfulness of Adversarial Image Examples by Leveraging Color VarianceSam Sweere, Zhuoran Liu, Martha A. Larson. [doi]
• MediaEval 2019: LRCNs for Stroke Detection in Table TennisSiddharth Sriraman, Srinath Srinivasan, Vishnu K. Krishnan, Bhuvana J, T. T. Mirnalinee. [doi]
• Using Aesthetics and Action Recognition-Based Networks for the Prediction of Media MemorabilityMihai Gabriel Constantin, Chen Kang, Gabriela Dinu, Frédéric Dufaux, Giuseppe Valenzise, Bogdan Ionescu. [doi]
• Using Deep Learning to Predict Motility and Morphology of Human SpermSteven Alexander Hicks, Trine B. Haugen, Pål Halvorsen, Michael Riegler. [doi]
• Flood Severity Estimation in News Articles Using Deep Learning ApproachesDan Bîna, George-Alexandru Vlad, Cristian Onose, Dumitru-Clementin Cercel. [doi]
• Predicting Missing Data by Using Multimodal Data AnalyticsLoc Tai Nguyen Tan, Minh Tam Nguyen, Dang-Hieu Nguyen. [doi]
• Predicting Media Memorability Using Deep Features with Attention and Recurrent NetworkLe-Vu Tran, Vinh-Loc Huynh, Minh-Triet Tran. [doi]
• Music Theme Recognition Using CNN and Self-AttentionManoj Sukhavasi, Sainath Adapa. [doi]
• Healthism@MediaEval 2019 - Insights for Wellbeing Task: Factors Related to Subjective and Objective HealthQi Huang, Ailin Sheng, Lei Pang, Xiaoyong Wei, Ramesh Jain. [doi]
• Adversarial Photo Frame: Concealing Sensitive Scene Information of Social Images in a User-Acceptable MannerZhuoran Liu, Zhengyu Zhao 0001. [doi]
• MediaEval 2019: Concealed FGSM Perturbations for Privacy PreservationPanagiotis Linardos, Suzanne Little, Kevin McGuinness. [doi]
• Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News ContentPierrick Bruneau, Thomas Tamisier. [doi]
• CNNs and Fisher Vectors for No-Audio Multimodal Speech DetectionJose Vargas Quiros, Hayley Hung. [doi]
• Deep Learning Models for Estimation of Flood Severity Using Multimodal and Satellite ImagesHariny Ganapathy, Geetika Bandlamudi, Yamini L, Bhuvana J, T. T. Mirnalinee. [doi]
• GIBIS at MediaEval 2019: Predicting Media Memorability TaskSamuel Felipe dos Santos, Jurandy Almeida. [doi]
• The Multimedia Satellite Task at MediaEval 2019Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao 0001, Martha A. Larson, Konstantin Pogorelov. [doi]
• HCMUS at Insight for Wellbeing Task 2019: Multimodal Personal Health Lifelog Data Analysis with Inference from Multiple Sources and AttributesHoang-Anh Le, Thang-Long Nguyen-Ho, Minh-Triet Tran. [doi]
• Combining Textual and Visual Modeling for Predicting Media MemorabilityAlison Reboud, Ismail Harrando, Jorma Laaksonen, Danny Francis, Raphaël Troncy, Héctor Laria Mantecón. [doi]
• Overview of MediaEval 2019: Insights for Wellbeing TaskMultimodal Personal Health Lifelog Data AnalysisMinh-Son Dao, Peijiang Zhao, Tomohiro Sato, Koji Zettsu, Duc-Tien Dang-Nguyen, Cathal Gurrin, Ngoc Thanh Nguyen. [doi]
• Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted FeaturesSteven 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. [doi]
• Sports Video Annotation: Detection of Strokes in Table Tennis Task for MediaEval 2019Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, Jordan Calandre, Julien Morlier. [doi]
• MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based ApproachHsiao-Tzu Hung, Yu-Hua Chen, Maximilian Mayerl, Michael Vötter, Eva Zangerle, Yi-Hsuan Yang. [doi]
• Automated Replay Detection and Multi-Stream SynchronizationKevin Mekul. [doi]
• MediaEval 2019: Eyes and Ears TogetherYasufumi Moriya, Ramon Sanabria, Florian Metze, Gareth J. F. Jones. [doi]
• MediaEval2019: Flood Detection in Time Sequence Satellite ImagesPallavi Jain 0003, Bianca Schoen-Phelan, Robert Ross. [doi]
• Flood Level Estimation from News Articles and Flood Detection from Satellite Image SequencesYu Feng, Shumin Tang, Hao Cheng, Monika Sester. [doi]
• DCU-ADAPT at MediaEval 2019: GameStoryYasufumi Moriya, Gareth J. F. Jones. [doi]
• Replay Detection and Multi-stream Synchronization in CS: GO Game Streams Using Content-Based Image Retrieval and Image Signature MatchingVan-Tu Ninh, Tu-Khiem Le, Duc-Tien Dang-Nguyen, Cathal Gurrin. [doi]
• AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite DataMirko Zaffaroni, Laura Lopez-Fuentes, Alessandro Farasin, Paolo Garza, Harald Skinnemoen. [doi]
• Recognizing Song Mood and Theme Using Convolutional Recurrent Neural NetworksMaximilian Mayerl, Michael Vötter, Hsiao-Tzu Hung, Bo-Yu Chen, Yi-Hsuan Yang, Eva Zangerle. [doi]
• GameStory Task at MediaEval 2019Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Johanna Pirker, Martin Potthast, Pål Halvorsen. [doi]
• Flood Severity Estimation from Online News Images and Multi-Temporal Satellite Images Using Deep Neural NetworksBenjamin Bischke, Simon Brugman, Patrick Helber. [doi]
• Combining Visual and Movement Modalities for No-audio Speech SetectionLiandong Li, Zhuo Hao, Bo Sun 0006. [doi]
• Ensemble and Inference based Methods for Flood Severity Estimation Using Visual DataMir Murtaza, Muhammad Hanif, Muhammad Atif Tahir, Muhammad Rafi. [doi]
• Image Enhancement and Adversarial Attack Pipeline for Scene Privacy ProtectionMuhammad Bilal Sakha. [doi]
• No-Audio Multimodal Speech Detection Task at MediaEval 2019Ekin Gedik, Laura Cabrera Quiros, Hayley Hung. [doi]
• Multimodal Deep Features Fusion for Video Memorability PredictionRoberto Leyva, Faiyaz Doctor, Alba Garcia Seco de Herrera, Sohail Sahab. [doi]
• Optical Flow Singularities for Sports Video Annotation: Detection of Strokes in Table TennisJordan Calandre, Renaud Péteri, Laurent Mascarilla. [doi]
• HCMUS at Pixel Privacy 2019: Scene Category Protection with Back Propagation and Image EnhancementHung Vinh Tran, Trong-Thang Pham, Hai-Tuan Ho-Nguyen, Hoai-Lam Nguyen-Hy, Xuan-Vy Nguyen, Thang-Long Nguyen-Ho, Minh-Triet Tran. [doi]
• Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite SequencesKashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha. [doi]
• Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video AnalysisVajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen. [doi]
• Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNsKhaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-zadeh, Gerhard Widmer. [doi]
• Siamese Spatio-Temporal Convolutional Neural Network for Stroke Classification in Table Tennis GamesPierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier. [doi]
• Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and MorphologyVajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen. [doi]