International Workshop on Attractiveness Computing in Multimedia in conjunction of IEEE BigMM

As the advancement of social platform, media capturing devices, and media processing tools, large volumes of user-generated content or professionally edited content are shared and disseminated on the web. Internet users can browse, comment, edit, and sometimes creatively re-compose this content to generate new media, giving new insights or interesting applications. A fundamental question, therefore, arises. Why are we attracted to multimedia content and services? How can we make our multimedia content and services more attractive? Massive multimedia data shared on social media platforms apparently raise multimedia research challenges and opportunities; however, few research efforts have been put on these interesting and challenging topics.

Topics of ACM include, but are not limit to analysis and applications of the following areas are solicited:

  • Creation: content synthesis and collaboration; creation of novel attractive content.
  • Editing: content authoring, composition, summarization, and presentation; multimodality integration.
  • Indexing and retrieval: novel features and structure to index multimedia by its attractiveness score; retrieval interface and model; socially-aware analysis.
  • Methodology: machine learning for attractiveness analysis; classification and pattern recognition; generic model and heuristics in analysis.
  • Interaction: interaction on various devices; user in the loop ofcomputation; human factors in attractiveness.
  • Evaluation: dataset development; evaluation ofsystems; design of user study; limitation ofthe state-of-the-art.
  • Novel applications: novel application scenarios; development of novel challenges and perspectives.

ACM 2017 welcomes submissions of papers no longer than 6 pages (inclusive of all figures, references and appendices). All submissions must be written in English and must be formatted according to BigMM. They must contain no information identifying the author(s) or their organization(s). Reviews will be double-blind. Papers will be judged on their relevance, technical content and correctness, and the clarity of presentation of the research.

Important Dates

  • Workshop paper submission deadline: TBD
  • Workshop paper acceptance notification: TBD
  • Workshop paper camera ready due: TBD


  • Toshihiko Yamasaki, The University of Tokyo, Japan

    Toshihiko Yamasaki received the B.S. degree in electronic engineering, the M.S. degree in information and communication engineering, and the Ph.D. degree from The University of Tokyo in 1999, 2001, and 2004, respectively. He is currently an Associate Professor at Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo. His current research interests include big multimedia analysis, image recognition, machine learning,optimization, and so on. He was a visiting scientist at Advanced Multimedia Processing Lab., School of Electrical and Computer Engineering, Cornell University, from Feb. 2011 to Feb. 2013. He is an IEEE MSA TC affiliate member.

  • Ichiro Ide, Nagoya University, Japan

    Ichiro Ide received the B.S. degree in electronic engineering, the M.S. degree in information engineering, and the Ph.D. degree from The University of Tokyo in 1994, 1996, and 2000, respectively. He is currently an Associate Professor at Department of Media Science, Graduate School of Information Science, Nagoya University. His current research interests include multimedia contents analysis and synthesis, social media, image recognition, and so on. He won 11 awards including the Best Honorable Award at the Workshop on Computer Vision in Vehicle Technology: From Earth to Mars (in conjunction with ACCV2010), the Best Paper Award at the 15th Int. Multimedia Modeling Conf., Best Industry-Related Paper Award at the 18th Int. Conf. on Pattern Recognition, and so on. He was a senior visiting researcher at Institute of Informatics, University of Amsterdam, from Mar. 2010 to Mar. 2011.

  • Naoko Nitta, Osaka University, Japan

    Naoko Nitta received the B.E., M.E. and Ph.D. degrees inEngineering Science from Osaka University, in 1998, 2000 and 2003, respectively. She is currently an Associate Professor at Graduate School of Engineering, Osaka University. From 2002 to 2004, she was a research fellowof the Japan Society for the Promotion of Science. From 2003 to 2004, she was a Visiting Scholar at ColumbiaUniversity, New York. Her research interests are in the areas of content analysisof multimedia data such as videos, images, and social media. She won 6 awards including Best Paper Award of 2006 Pacific-Rim Conference on Multimedia (PCM2006).