Special Session @ MMM’15

Call for Papers

We are pleased to announce the special session on Personal (Big) Data Modeling for Information Access & Retrieval which has been accepted as part of the 21st International Conference on Multimedia Modeling (MMM’15). MMM is a leading international conference for researchers and industry practitioners for sharing new ideas, original research results and practical development experiences from all MMM related areas. In 2015, the conference will be held in Sydney, Australia.

Aim and Scope

Personal big data modeling is an increasingly important research topic in the multimedia research community. With the emergence of social networking sites and wearable devices such as Microsoft’s SenseCam or Google Glass that create a constant personalized stream of sensor data and multimedia content, it is inevitable that securely and efficiently managing personal multimedia will become an important research challenge.

There is a need for a host of advanced tools and technologies from a variety of research disciplines, including sensors and low-level sensor analytics, semantic enrichment, contextual analytics, multimedia indexing and storage, data security and privacy, information retrieval, computer vision, audio processing, feature extraction and representation, machine learning, human computer interaction, and user experience and interaction design.

This special session is devoted to the publications of high quality papers on technical developments and practical applications around personal (big) data modeling for Information Access and Retrieval. It will serve as a forum for recent advances in the field to be presented and discussed.

Topics of Interest

The special session of MMM 2015 invites unpublished, original research relating to all aspects of personal (big) data modeling for Information Access and Retrieval. Relevant topics include, but are not limited to, the following:

  • Lifelogging/self tracking applications of personal data modeling.
  • Content analysis of wearable device sensor streams.
  • Interfaces & data visualisation for personal data modeling
  • Long-term storage and curation of personal data
  • Test collections and evaluation methodologies for personal data retrieval systems
  • Experiences of wearable-device applications and real-world usage
  • Real-world use cases of personal data modeling
  • Systems, applications, services and implementations of personal data modeling
  • Personal data security and privacy issues
  • Gamification of personal data
  • Content summarisation and data linkage for personal data

Paper submission

Submissions should conform to the formatting instructions of Springer Verlag, LNCS series at http://www.springer.com/lncs/. Page limit for full papers is 12 pages. The conference proceedings will be published as series of Lecture Notes in Computer Science (LNCS) by Springer. There will be best submission awards. Authors of selected papers of MMM 2015 will be invited to publish extended versions in special issues of various leading/major international journals. Further details can be found at http://www.mmm2015.org/paper-submission/.


  • Cathal Gurrin, Dublin City University, Ireland
  • Frank Hopfgartner, TU Berlin, Germany

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