| Vol-2283 urn:nbn:de:0074-2283-7 Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# MediaEval 2018
Multimedia Benchmark Workshop

### Working Notes Proceedings of the MediaEval 2018 Workshop

### Sophia Antipolis, France, 29-31 October 2018.

Edited by

### Martha Larson (1)
Piyush Arora (2)
Claire-Hélène Demarty (3)
Michael Riegler (4)
Benjamin Bischke (5)
Emmanuel Dellandrea (6)
Mathias Lux (7)
Alastair Porter (8)
Gareth J.F. Jones (9)

(1) Radboud University and Delft University of Technology, Netherlands
(2) Dublin City University, Ireland
(3) Technicolor, Rennes, France
(4) SimulaMet and University of Oslo, Norway
(5) German Research Center for Artificial Intelligence (DFKI) and TU Kaiserslautern, Germany
(6) École Centrale de Lyon, France
(7) Alpen-Adria-Universität Klagenfurt, Austria
(8) Music Technology Group, Universitat Pompeu Fabra, Spain
(9) Dublin City University, Ireland

## 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

2018-12-19: submitted by Piyush Arora, metadata incl. bibliographic data published under Creative Commons CC0
2018-12-22: published on CEUR-WS.org |valid HTML5|