Table of Contents

• The Multimedia Satellite Task at MediaEval 2017Benjamin Bischke, Patrick Helber, Christian Schulze, Venkat Srinivasan, Andreas Dengel, Damian Borth. [doi]
• The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple SourcesDmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber. [doi]
• Rank Fusion and Multimodal Per-topic Adaptiveness for Diverse Image RetrievalRodrigo Tripodi Calumby, Iago Breno Alves do Carmo Araujo, Felipe Souza Cordeiro, Fabiana Bertoni, Sérgio D. Canuto, Fabiano Belém, Marcos André Gonçalves, Ícaro C. Dourado, Javier Munoz, Lin Li, Ricardo da Silva Torres. [doi]
• The CLAS System at the MediaEval 2017 C@merata TaskStephen Wan. [doi]
• CFM@MediaEval 2017 Retrieving Diverse Social Images Task via Re-ranking and Hierarchical ClusteringLiang Peng, Yi Bin, Xiyao Fu, Jie Zhou, Yang Yang, Heng Tao Shen. [doi]
• HKBU at MediaEval 2017 - Emotional Impact of Movies TaskYang Liu, Zhonglei Gu, Tobey H. Ko. [doi]
• BMC@MediaEval 2017 Multimedia Satellite Task via Regression Random ForestXiyao Fu, Yi Bin, Liang Peng, Jie Zhou, Yang Yang 0002, Heng Tao Shen. [doi]
• GIBIS at MediaEval 2017: Predicting Media Interestingness TaskJurandy Almeida, Ricardo Savii. [doi]
• DA-IICT at MediaEval 2017: Objective Prediction of Media InterestingnessRashi Gupta, Manish Narwaria. [doi]
• UMONS @ MediaEval 2017: Diverse Social Images RetrievalOmar Seddati, Nada Ben-Lhachemi, Stéphane Dupont, Saïd Mahmoudi. [doi]
• MIC-TJU in MediaEval 2017 Emotional Impact of Movies TaskYun Yi, Hanli Wang, Jiangchuan Wei. [doi]
• Hierarchical Multilabel Classification and Voting for Genre ClassificationBenjamin Murauer, Maximilian Mayerl, Michael Tschuggnall, Eva Zangerle, Martin Pichl, Günther Specht. [doi]
• Multimodality and Deep Learning when Predicting Media InterestingnessEloïse Berson, Claire-Hélène Demarty, Ngoc Q. K. Duong. [doi]
• Multimedia for Medicine: The Medico Task at MediaEval 2017Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange. [doi]
• LAPI at MediaEval 2017 - Predicting Media InterestingnessMihai Gabriel Constantin, Bogdan Andrei Boteanu, Bogdan Ionescu. [doi]
• An Inception-like CNN Architecture for GI Disease and Anatomical Landmark ClassificationStefan Petscharnig, Klaus Schöffmann, Mathias Lux. [doi]
• Retrieving Diverse Social Images at MediaEval 2017: Challenges, Dataset and EvaluationMaia Zaharieva, Bogdan Ionescu, Alexandru-Lucian Gînsca, Rodrygo L. T. Santos, Henning Müller. [doi]
• NLE@MediaEval'17: Combining Cross-Media Similarity and Embeddings for Retrieving Diverse Social ImagesJean-Michel Renders, Gabriela Csurka. [doi]
• CNN and GAN Based Satellite and Social Media Data Fusion for Disaster DetectionKashif Ahmad, Konstantin Pogorelov, Michael Riegler, Nicola Conci, Pål Halvorsen. [doi]
• A Domain-based Late-Fusion for Disaster Image Retrieval from Social MediaMinh-Son Dao, Quang-Nhat-Minh Pham, Duc-Tien Dang-Nguyen. [doi]
• Visual and Textual Analysis of Social Media and Satellite Images for Flood Detection @ Multimedia Satellite Task MediaEval 2017Konstantinos Avgerinakis, Anastasia Moumtzidou, Stelios Andreadis, Emmanouil Michail, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris. [doi]
• TCNJ-CS@MediaEval 2017 Emotional Impact of Movie TaskSejong Yoon. [doi]
• BOUN-NKU in MediaEval 2017 Emotional Impact of Movies TaskNihan Karslioglu, Yasemin Timar, Albert Ali Salah, Heysem Kaya. [doi]
• MediaEval 2017 Predicting Media Interestingness TaskClaire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Michael Gygli, Ngoc Q. K. Duong. [doi]
• Convolutional Neural Networks for Disaster Images RetrievalSheharyar Ahmad, Kashif Ahmad, Nasir Ahmad, Nicola Conci. [doi]
• Exploiting Visual-based Intent Classification for Diverse Social Image RetrievalBo Wang, Martha Larson. [doi]
• The DMUN System at the MediaEval 2017 C@merata TaskAndreas Katsiavalos. [doi]
• DUT-MMSR at MediaEval 2017: Predicting Media Interestingness TaskReza Aditya Permadi, Septian Gilang Permana Putra, Helmiriawan, Cynthia C. S. Liem. [doi]
• Data-Driven Flood Detection using Neural NetworksKeiller Nogueira, Samuel G. Fadel, Ícaro C. Dourado, Rafael de Oliveira Werneck, Javier A. V. Muñoz, Otávio A. B. Penatti, Rodrigo Tripodi Calumby, Lin Li, Jefersson Alex dos Santos, Ricardo da Silva Torres. [doi]
• The C@merata task at MediaEval 2017: Natural Language Queries about Music, their JSON Representations, and Matching Passages in MusicXML ScoresRichard F. E. Sutcliffe, Donncha Ó Maidín, Eduard H. Hovy. [doi]
• Ensemble of Texture Features for Finding Abnormalities in the Gastro-Intestinal TractSyed Sadiq Ali Naqvi, Shees Nadeem, Muhammad Zaid, Muhammad Atif Tahir. [doi]
• Retrieving Social Flooding Images Based on Multimodal InformationZhengyu Zhao, Martha Larson. [doi]
• LAPI @ 2017 Retrieving Diverse Social Images Task: A Pseudo-Relevance Feedback Diversification PerspectiveBogdan Boteanu, Mihai Gabriel Constantin, Bogdan Ionescu. [doi]
• MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron ApproachKhaled Koutini, Alina Imenina, Matthias Dorfer, Alexander Gruber, Markus Schedl. [doi]
• THUHCSI in MediaEval 2017 Emotional Impact of Movies TaskZitong Jin, Yuqi Yao, Ye Ma, Mingxing Xu. [doi]
• The IITB Predicting Media Interestingness System for MediaEval 2017Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh. [doi]
• Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural NetworksBenjamin Bischke, Prakriti Bhardwaj, Aman Gautam, Patrick Helber, Damian Borth, Andreas Dengel. [doi]
• Predicting Media Interestingness via Biased Discriminant Embedding and Supervised Manifold RegressionYang Liu, Zhonglei Gu, Tobey H. Ko. [doi]
• RUC at MediaEval 2017: Predicting Media Interestingness TaskShuai Wang, Shizhe Chen, Jinming Zhao, Wenxuan Wang, Qin Jin. [doi]
• A Comparison of Deep Learning with Global Features for Gastrointestinal Disease DetectionKonstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz, Thomas de Lange, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Olga Ostroukhova, Mathias Lux, Concetto Spampinato. [doi]
• SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical ImagesTaruna Agrawal, Rahul Gupta, Saurabh Sahu, Carol Espy Wilson. [doi]
• HKBU at MediaEval 2017 - Medico: Medical Multimedia TaskYang Liu, Zhonglei Gu, William K. Cheung. [doi]
• Multi-modal Deep Learning Approach for Flood DetectionLaura Lopez-Fuentes, Joost van de Weijer, Marc Bolaños, Harald Skinnemoen. [doi]
• The MediaEval 2017 Emotional Impact of Movies TaskEmmanuel Dellandréa, Martijn Huigsloot, Liming Chen 0002, Yoann Baveye, Mats Sjöberg. [doi]
• ICSI in MediaEval 2017 Multi-Genre Music TaskKijung Kim, Jaeyoung Choi. [doi]
• TCNJ-CS@MediaEval 2017 Predicting Media Interestingness TaskSejong Yoon. [doi]
• Single and Multi Column Neural Networks for Content-based Music Genre RecognitionChang Wook Kim, Jaehun Kim, Kwangsub Kim, Minz Won. [doi]
• Flood detection using Social Media Data and Spectral Regression based Kernel Discriminant AnalysisMuhammad Hanif, Muhammad Atif Tahir, Mahrukh Khan, Muhammad Rafi. [doi]
• WISC at MediaEval 2017: Multimedia Satellite TaskNataliya Tkachenko, Arkaitz Zubiaga, Rob Procter. [doi]
• DNN in the AcousticBrainz Genre Task 2017Nicolas Dauban. [doi]
• EURECOM@MediaEval 2017: Media Genre Inference for Predicting Media InterestingnessOlfa Ben Ahmed, Jonas Wacker, Alessandro Gaballo, Benoit Huet. [doi]