International Workshop on Social Media Utilization Environment


In recent years, social media has become an essential part of networking and communication environment online. As people use this environment to connect one another and retrieve different information of their interest, one of the most popular information which is being shared through the social media network is multimedia data such as photos, video and music. Along with this popularity, various multimedia-based applications are developed to entertain the users. These include art creation (e.g. applications for a portrait photo into a pencil drawing or a painting) and cultural creation (e.g. applications for processing a scenery photo into a Japanese wood-print art. In the field of multimedia image processing, semantic multi-media retrieval has been in a main focus of research for the last two decades. Recently a large number of cutting-edge algorithms have been developed using object recognition techniques for predetermined domains such as identifying animals and plants over the Internet or large datasets. In order to overcome the so-called “semantic gap”, content-based image retrieval methods using low-level visual features have been exploited and applied at early years until now. Today newer methods have been developed. Artificial intelligence and machine learning techniques applying mainly unsupervised learning is a focused research area. A more recent research, which is gaining an increased interest, is connecting low-level features with contextual and conceptual information. Meanwhile, emergence of high-end devices such as smart phones comes with a wide variety of metadata. Selectively applying some useful metadata can further improve intelligence of the semantic multi-media research environment.

Topics for the workshop include, but are not limited to:

  • Semantic web and multi-media search
  • Multimedia content analysis and retrieval
  • Content-based image retrieval architecture in early years and today
  • Object recognition and segmentation
  • Existing and latest feature extraction techniques
  • Multi-media classification by machine learning
  • Bags-of-Words approach
  • Automatic image annotation/linguistic indexing
  • Orthologies, taxonomies and folksonomies
  • Multimedia analysis and applications
  • Multimedia databases (include digital libraries, museum, art or other social/cultural databases)
  • Multi-media communications and Mobile communications (smart/feature phone, tablet, etc.)
  • Social media environment (SNS, art, historical, heritage culture, stage, attraction, advertising, etc.)
  • Technologies to retrieve large multi-media data

Workshop Co-Chairs

Kuticsne Matz Andrea, ICU, Japan

Publicity and Liaison Chair

Akihiko Nakagawa, ICU, JAPAN

Program Committee

Moncef Gabbouj, Tampere University of Technology, Finland
Serkan Kiranyaz, Tampere University of Technology, Finland
Tamas Sziranyi, Computer and Automation Institute of Hungarian Academy of Sciences, Hungary
Judit Gaizlerne Nyeki, University of Peter Pazmany, Hungary
Allan Hanbery, Technical University of Vienna, Austria
Michiharu Tsukamoto, Tokyo University of Technology, Japan
Shinichiro Miyaoka, Tokyo University of Technology, Japan Hitoshi Sakano, ATR, Japan
Naoki Amano, Tokyo University of Technology, Japan
Kimiya Fujisawa, Tokyo University of Technology, Japan
Kunio Kondoh, Tokyo University of Technology, Japan
Aurelio Campilho, University of Porto, Portugal
Mohamed Kamel, University of Waterloo, Canada
Enis Cetin, Bilkent University, Turkey
Alistair Greig, University College of London, UK
Miftahur Rahman, North South University,Bangladesh
Janne Heikkilä, Universityof Oulu, Finland
Kazunori Matsumoto, KDDI R&D Laboratories, Inc., Japan
Masaki Naito, KDDI R&D Laboratories, Inc., Japan