MediaEval 2018
Multimedia Benchmark Workshop

Table of Contents

Predicting Media Memorability Task

Overview paper:

• MediaEval 2018: Predicting Media Memorability
  Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do

Working notes papers:

• Dublin's Participation in the Predicting Media Memorability Task at MediaEval 2018
  Alan F. Smeaton, Owen Corrigan, Paul Dockree, Cathal Gurrin, Graham Healy, Feiyan Hu, Kevin McGuinness, Eva Mohedano, Tomás Ward

• Show and Recall @ MediaEval 2018 ViMemNet: Predicting Video Memorability
  Ritwick Chaudhry, Manoj Kilaru, Sumit Shekhar

• Predicting Media Memorability Using Deep Features and Recurrent Network
  Duy-Tue Tran-Van, Le-Vu Tran, Minh-Triet Tran

• Video Memorability Prediction with Recurrent Neural Networks and Video Titles at the 2018 MediaEval Predicting Media Memorability Task
  Wensheng Sun, Xu Zhang

• Linear Models for Video Memorability Prediction Using Visual and Semantic Features
  Rohit Gupta, Kush Motwani

• Learning Memorability Preserving Subspace for Predicting Media Memorability
  Yang Liu, Zhonglei Gu, Tobey H. Ko

• Transfer Learning for Video Memorability Prediction
  Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong

• Predicting Memorability via Early Fusion Deep Neural Network
  Aaron Weiss, Benjamin Sang, Sejong Yoon

• GIBIS at MediaEval 2018: Predicting Media Memorability Task
  Ricardo Manhães Savii, Samuel Felipe dos Santos , Jurandy Almeida

• Multimodal Approach to Predicting Media Memorability
  Tanmayee Joshi, Sarath Sivaprasad, Savita Bhat, Niranjan Pedanekar

• RUC at MediaEval 2018: Visual and Textual Features Exploration for Predicting Media Memorability
  Shuai Wang, Weiying Wang, Shizhe Chen, Qin Jin

Medico Multimedia Task

Overview paper:

• Medico Multimedia Task at MediaEval 2018
  Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Steven Alexander Hicks, Kristin Ranheim Randel, Duc-Tien Dang-Nguyen, Mathias Lux, Olga Ostroukhova, Thomas de Lange

Working notes papers:

• An Application of Residual Network and Faster - RCNN for Medico: Multimedia Task at MediaEval 2018
  Trung-Hieu Hoang, Hai-Dang Nguyen, Thanh-An Nguyen, Vinh-Tiep Nguyen, Minh-Triet Tran

• Transfer Learning with CNN Architectures for Classifying Gastrointestinal Diseases and Anatomical Landmarks
  Danielle Dias, Ulisses Dias

• Using Preprocessing as a Tool in Medical Image Detection
  Mathias Kirkerød, Vajira Thambawita, Michael Riegler, Pål Halvorsen

• The 2018 Medico Multimedia Task Submission of Team NOAT Using Neural Network Features and Search-based Classification
  Michael Steiner, Mathias Lux, Pål Halvorsen

• The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning
  Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen

• Early and Late Fusion of Classifiers for the MediaEval Medico Task
  Mario Taschwer, Manfred Jürgen Primus, Klaus Schoeffmann, Oge Marques

• Deep Learning Based Disease Detection Using Domain Specific Transfer Learning
  Steven A. Hicks, Pia H. Smedsrud, Pål Halvorsen, Michael Riegler

• Majority Voting of Heterogeneous Classifiers for Finding Abnormalities in the Gastro-Intestinal Tract
  Zeshan Khan, Muhammad Atif Tahir

• Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task
  Rune Johan Borgli, Pål Halvorsen, Michael Riegler, Håkon Kvale Stensland

• Weighted Discriminant Embedding: Discriminant Subspace Learning for Imbalanced Medical Data Classification
  Tobey H. Ko, Zhonglei Gu, Yang Liu

• Transfer Learning with Prioritized Classification and Training Dataset Equalization for Medical Objects Detection
  Olga Ostroukhova, Konstantin Pogorelov, Michael Riegler, Duc-Tien Dang-Nguyen, Pål Halvorsen

Multimedia Satellite Task: Emergency Response for Flooding Events

Overview paper:

• The Multimedia Satellite Task at MediaEval 2018
  Benjamin Bischke, Patrick Helber, Zhengyu Zhao, Jens de Bruijn, Damian Borth

Working notes papers:

• Ensembled Convolutional Neural Network Models for Retrieving Flood Relevant Tweets
  Yu Feng, Sergiy Shebotnov, Claus Brenner, Monika Sester

• Detection of Passable Roads Using Ensemble of Global and Local Features
  Muhammad Hanif, Muhammad Atif Tahir, Muhammad Rafi

• Exploiting Local Semantic Concepts for Flooding-related Social Image Classification
  Zhengyu Zhao, Martha Larson, Nelleke Oostdijk

• A Multimodal Approach in Estimating Road Passability Through a Flooded Area Using Social Media and Satellite Images
  Anastasia Moumtzidou, Panagiotis Giannakeris, Stelios Andreadis, Athanasios Mavropoulos, Georgios Meditskos, Ilias Gialampoukidis, Konstantinos Avgerinakis, Stefanos Vrochidis, Ioannis Kompatsiaris

• Deep Learning Models for Passability Detection of Flooded Roads
  Laura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza

• Detection of Road Passability from Social Media and Satellite Images
  Armin Kirchknopf, Djordje Slijepcevic, Matthias Zeppelzauer, Markus Seidl

• Deep Learning Approaches for Flood Classification and Flood Aftermath Detection
  Naina Said, Konstantin Pogorelov, Kashif Ahmad, Michael Riegler, Nasir Ahmad, Olga Ostroukhova, Pål Halvorsen, Nicola Conci

• Flood Detection from Social Multimedia and Satellite Images Using Ensemble and Transfer Learning with CNN Architectures
  Danielle Dias, Ulisses Dias

• Global-Local Feature Fusion for Image Classification of Flood Affected Roads from Social Multimedia
  Benjamin Bischke, Patrick Helber, Andreas Dengel

Emotional Impact of Movies Task

Overview paper:

• The MediaEval 2018 Emotional Impact of Movies Task
  Emmanuel Dellandréa, Martijn Huigsloot, Liming Chen, Yoann Baveye, Zhongzhe Xiao, Mats Sjöberg

Working notes papers:

• CNN Features for Emotional Impact of Movies Task
  Yun Yi, Hanli Wang, Qinyu Li

• Visual and Audio Analysis of Movies Video for Emotion Detection @ Emotional Impact of Movies Task MediaEval 2018
  Elissavet Batziou, Emmanouil Michail, Konstantinos Avgerinakis, Stefanos Vrochidis, Ioannis Patras, Ioannis Kompatsiaris

• THUHCSI in MediaEval 2018 Emotional Impact of Movies Task
  Ye Ma, Xihao Liang, Mingxing Xu

• Frame-based Evaluation with Deep Features to Predict Emotional Impact of Movies
  Khanh-An C. Quan, Vinh-Tiep Nguyen, Minh-Triet Tran

• IM-JAIC at MediaEval 2018 Emotional Impact of Movies Task
  Chloe Loughridge, Julia Moseyko

• GLA in MediaEval 2018 Emotional Impact of Movies Task
  Jennifer J. Sun, Ting Liu, Gautam Prasad

• Towards Learning Emotional Subspace
  Tobey H. Ko, Zhonglei Gu, Tiantian He, Yang Liu

GameStory: Video Game Analytics Challenge

Overview paper:

• GameStory Task at MediaEval 2018
  Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Marcus Larson, Martin Potthast, Pål Halvorsen

Working notes papers:

• Team ORG @ GameStory Task 2018
  Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Marcus Larson, Martin Potthast, Pål Halvorsen

• Automated Killstreak Extraction in CS:GO Tournaments
  Michael Wutti

• GameStory: An Event-based Approach
  Van-Tu Ninh, Tu-Khiem Le, Minh-Triet Tran

AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources

Overview paper:

• The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources
  Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber

Working notes papers:

• MediaEval 2018 AcousticBrainz Genre Task: A CNN Baseline Relying on Mel-Features
  Hendrik Schreiber

• MediaEval 2018 AcousticBrainz Genre Task: A Baseline Combining Deep Feature Embeddings Across Datasets
  Sergio Oramas, Dmitry Bogdanov, Alastair Porter

Human Behavior Analysis Task: No-Audio Multi-Modal Speech Detection in Crowded Social Settings

Overview paper:

• No-Audio Multimodal Speech Detection in Crowded Social Settings Task at MediaEval 2018
  Laura Cabrera-Quiros, Ekin Gedik, Hayley Hung

Working notes papers:

• Transductive Parameter Transfer, Bags of Dense Trajectories and MILES for No-Audio Multimodal Speech Detection
  Laura Cabrera-Quiros, Ekin Gedik, Hayley Hung

• Analyzing Human Behavior in Subspace: Dimensionality Reduction + Classification
  Yang Liu, Zhonglei Gu, Tobey H. Ko

NewsREEL Multimedia: News recommendation with image/text content

Overview paper:

• NewsREEL Multimedia at MediaEval 2018: News Recommendation with Image and Text Content
  Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Leif Ramming

Working notes papers:

• Predicting the Interest in News Based on Image Annotations
  Alexandru Ciobanu, Andreas Lommatzsch, Benjamin Kille

• Baseline Algorithms for Predicting the Interest in News Based on Multimedia-Data
  Andreas Lommatzsch, Benjamin Kille

Pixel Privacy Task

Overview paper:

• Pixel Privacy: Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information
  Martha Larson, Zhuoran Liu, Simon Brugman, Zhengyu Zhao

Working notes papers:

• First Steps in Pixel Privacy: Exploring Deep Learning-based Image Enhancement against Large-Scale Image Inference
  Zhuoran Liu, Zhengyu Zhao

• Exploring Three Views on Image Enhancement for Pixel Privacy
  Simon Brugman, Maciej Wysokiński, Martha Larson

Recommending Movies Using Content: Which content is key?

Overview paper:

• The MediaEval 2018 Movie Recommendation Task: Recommending Movies Using Content
  Yashar Deldjoo, Mihai Gabriel Constantin, Athanasios Dritsas, Bogdan Ionescu, Markus Schedl

Working notes paper:

• Movie Rating Prediction Using Multimedia Content and Modeling as a Classification Problem
  Fatemeh Nazary, Yashar Deldjoo

MediaEval Letter

• Eyes and Ears Together: New Task for Multimodal Spoken Content Analysis
  Yasufumi Moriya, Ramon Sanabria, Florian Metze, Gareth J.F. Jones