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ORCIDMediaEval 2018: Sophia Antipolis, France
- Martha A. Larson, Piyush Arora, Claire-Hélène Demarty, Michael Riegler, Benjamin Bischke, Emmanuel Dellandréa, Mathias Lux, Alastair Porter, Gareth J. F. Jones:
Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia Antipolis, France, 29-31 October 2018. CEUR Workshop Proceedings 2283, CEUR-WS.org 2018
Predicting Media Memorability Task
- Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do:
MediaEval 2018: Predicting Media Memorability. - Alan F. Smeaton, Owen Corrigan, Paul Dockree, Cathal Gurrin, Graham Healy, Feiyan Hu, Kevin McGuinness, Eva Mohedano, Tomás Ward:
Dublin's Participation in the Predicting Media Memorability Task at MediaEval 2018. - Ritwick Chaudhry, Manoj Kilaru, Sumit Shekhar:
Show and Recall @ MediaEval 2018 ViMemNet: Predicting Video Memorability. - Duy-Tue Tran-Van, Le-Vu Tran, Minh-Triet Tran:
Predicting Media Memorability Using Deep Features and Recurrent Network. - Wensheng Sun, Xu Zhang:
Video Memorability Prediction with Recurrent Neural Networks and Video Titles at the 2018 MediaEval Predicting Media Memorability Task. - Rohit Gupta, Kush Motwani:
Linear Models for Video Memorability Prediction Using Visual and Semantic Features. - Yang Liu, Zhonglei Gu, Tobey H. Ko:
Learning Memorability Preserving Subspace for Predicting Media Memorability. - Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong:
Transfer Learning for Video Memorability Prediction. - Aaron Weiss, Benjamin Sang, Sejong Yoon:
Predicting Memorability via Early Fusion Deep Neural Network. - Ricardo Manhães Savii, Samuel Felipe dos Santos, Jurandy Almeida:
GIBIS at MediaEval 2018: Predicting Media Memorability Task. - Tanmayee Joshi, Sarath Sivaprasad, Savita Bhat, Niranjan Pedanekar:
Multimodal Approach to Predicting Media Memorability. - Shuai Wang, Weiying Wang, Shizhe Chen, Qin Jin:
RUC at MediaEval 2018: Visual and Textual Features Exploration for Predicting Media Memorability.
Medico Multimedia Task
- Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Steven Alexander Hicks, Kristin Ranheim Randel, Duc-Tien Dang-Nguyen, Mathias Lux, Olga Ostroukhova, Thomas de Lange:
Medico Multimedia Task at MediaEval 2018. - Trung-Hieu Hoang, Hai-Dang Nguyen, Thanh-An Nguyen, Vinh-Tiep Nguyen, Minh-Triet Tran:
An Application of Residual Network and Faster - RCNN for Medico: Multimedia Task at MediaEval 2018. - Danielle Dias, Ulisses Dias:
Transfer Learning with CNN Architectures for Classifying Gastrointestinal Diseases and Anatomical Landmarks. - Mathias Kirkerød, Vajira Thambawita, Michael Riegler, Pål Halvorsen:
Using Preprocessing as a Tool in Medical Image Detection. - Michael Steiner, Mathias Lux, Pål Halvorsen:
The 2018 Medico Multimedia Task Submission of Team NOAT Using Neural Network Features and Search-based Classification. - Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning. - Mario Taschwer, Manfred Jürgen Primus, Klaus Schoeffmann, Oge Marques:
Early and Late Fusion of Classifiers for the MediaEval Medico Task. - Steven Alexander Hicks, Pia H. Smedsrud, Pål Halvorsen, Michael Riegler:
Deep Learning Based Disease Detection Using Domain Specific Transfer Learning. - Zeshan Khan, Muhammad Atif Tahir:
Majority Voting of Heterogeneous Classifiers for Finding Abnormalities in the Gastro-Intestinal Tract. - Rune Johan Borgli, Pål Halvorsen, Michael Riegler, Håkon Kvale Stensland:
Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task. - Tobey H. Ko, Zhonglei Gu, Yang Liu:
Weighted Discriminant Embedding: Discriminant Subspace Learning for Imbalanced Medical Data Classification. - Olga Ostroukhova, Konstantin Pogorelov, Michael Riegler, Duc-Tien Dang-Nguyen, Pål Halvorsen:
Transfer Learning with Prioritized Classification and Training Dataset Equalization for Medical Objects Detection.
Multimedia Satellite Task: Emergency Response for Flooding Events
- Benjamin Bischke, Patrick Helber, Zhengyu Zhao, Jens de Bruijn, Damian Borth:
The Multimedia Satellite Task at MediaEval 2018. - Yu Feng, Sergiy Shebotnov, Claus Brenner, Monika Sester:
Ensembled Convolutional Neural Network Models for Retrieving Flood Relevant Tweets. - Muhammad Hanif, Muhammad Atif Tahir, Muhammad Rafi:
Detection of Passable Roads Using Ensemble of Global and Local Features. - Zhengyu Zhao, Martha A. Larson, Nelleke Oostdijk:
Exploiting Local Semantic Concepts for Flooding-related Social Image Classification. - Anastasia Moumtzidou, Panagiotis Giannakeris, Stelios Andreadis, Athanasios Mavropoulos, Georgios Meditskos, Ilias Gialampoukidis, Konstantinos Avgerinakis, Stefanos Vrochidis, Ioannis Kompatsiaris:
A Multimodal Approach in Estimating Road Passability Through a Flooded Area Using Social Media and Satellite Images. - Laura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza:
Deep Learning Models for Passability Detection of Flooded Roads. - Armin Kirchknopf, Djordje Slijepcevic, Matthias Zeppelzauer, Markus Seidl:
Detection of Road Passability from Social Media and Satellite Images. - Naina Said, Konstantin Pogorelov, Kashif Ahmad, Michael Riegler, Nasir Ahmad, Olga Ostroukhova, Pål Halvorsen, Nicola Conci:
Deep Learning Approaches for Flood Classification and Flood Aftermath Detection. - Danielle Dias, Ulisses Dias:
Flood Detection from Social Multimedia and Satellite Images Using Ensemble and Transfer Learning with CNN Architectures. - Benjamin Bischke, Patrick Helber, Andreas Dengel:
Global-Local Feature Fusion for Image Classification of Flood Affected Roads from Social Multimedia.
Emotional Impact of Movies Task
- Emmanuel Dellandréa, Martijn Huigsloot, Liming Chen, Yoann Baveye, Zhongzhe Xiao, Mats Sjöberg:
The MediaEval 2018 Emotional Impact of Movies Task. - Yun Yi, Hanli Wang, Qinyu Li:
CNN Features for Emotional Impact of Movies Task. - Elissavet Batziou, Emmanouil Michail, Konstantinos Avgerinakis, Stefanos Vrochidis, Ioannis Patras, Ioannis Kompatsiaris:
Visual and Audio Analysis of Movies Video for Emotion Detection @ Emotional Impact of Movies Task MediaEval 2018. - Ye Ma, Xihao Liang, Mingxing Xu:
THUHCSI in MediaEval 2018 Emotional Impact of Movies Task. - Khanh-An C. Quan, Vinh-Tiep Nguyen, Minh-Triet Tran:
Frame-based Evaluation with Deep Features to Predict Emotional Impact of Movies. - Chloe Loughridge, Julia Moseyko:
IM-JAIC at MediaEval 2018 Emotional Impact of Movies Task. - Jennifer J. Sun, Ting Liu, Gautam Prasad:
GLA in MediaEval 2018 Emotional Impact of Movies Task. - Tobey H. Ko, Zhonglei Gu, Tiantian He, Yang Liu:
Towards Learning Emotional Subspace.
GameStory: Video Game Analytics Challenge
- Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Marcus Larson, Martin Potthast, Pål Halvorsen:
GameStory Task at MediaEval 2018. - Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Marcus Larson, Martin Potthast, Pål Halvorsen:
Team ORG @ GameStory Task 2018. - Michael Wutti:
Automated Killstreak Extraction in CS: GO Tournaments. - Van-Tu Ninh, Tu-Khiem Le, Minh-Triet Tran:
GameStory: An Event-based Approach.
AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources
- Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber:
The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. - Hendrik Schreiber:
MediaEval 2018 AcousticBrainz Genre Task: A CNN Baseline Relying on Mel-Features. - Sergio Oramas, Dmitry Bogdanov, Alastair Porter:
MediaEval 2018 AcousticBrainz Genre Task: A Baseline Combining Deep Feature Embeddings Across Datasets.
Human Behavior Analysis Task: No-Audio Multi-Modal Speech Detection in Crowded Social Settings
- Laura Cabrera Quiros, Ekin Gedik, Hayley Hung:
No-Audio Multimodal Speech Detection in Crowded Social Settings Task at MediaEval 2018. - Laura Cabrera Quiros, Ekin Gedik, Hayley Hung:
Transductive Parameter Transfer, Bags of Dense Trajectories and MILES for No-Audio Multimodal Speech Detection. - Yang Liu, Zhonglei Gu, Tobey H. Ko:
Analyzing Human Behavior in Subspace: Dimensionality Reduction + Classification.
NewsREEL Multimedia: News recommendation with image/text content
- Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Leif Ramming:
NewsREEL Multimedia at MediaEval 2018: News Recommendation with Image and Text Content. - Alexandru Ciobanu, Andreas Lommatzsch, Benjamin Kille:
Predicting the Interest in News Based on Image Annotations. - Andreas Lommatzsch, Benjamin Kille:
Baseline Algorithms for Predicting the Interest in News Based on Multimedia-Data.
Pixel Privacy Task
- Martha A. Larson, Zhuoran Liu, Simon Brugman, Zhengyu Zhao:
Pixel Privacy: Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information. - Zhuoran Liu, Zhengyu Zhao:
First Steps in Pixel Privacy: Exploring Deep Learning-based Image Enhancement against Large-Scale Image Inference. - Simon Brugman, Maciej Wysokinski, Martha A. Larson:
Exploring Three Views on Image Enhancement for Pixel Privacy.
Recommending Movies Using Content: Which content is key?
- Yashar Deldjoo, Mihai Gabriel Constantin, Athanasios Dritsas, Bogdan Ionescu, Markus Schedl:
The MediaEval 2018 Movie Recommendation Task: Recommending Movies Using Content. - Fatemeh Nazary, Yashar Deldjoo:
Movie Rating Prediction Using Multimedia Content and Modeling as a Classification Problem.
MediaEval Letter
- Yasufumi Moriya, Ramon Sanabria, Florian Metze, Gareth J. F. Jones:
Eyes and Ears Together: New Task for Multimodal Spoken Content Analysis.
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