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Geo-Multimedia Analytics and Retrieval

Location based multimedia big data holds greatest potential for fundamentally changing how information is fast and effectively accessed and presented; how knowledge is sufficiently learned and extracted; and how business (e.g., branding and customer relationship management) is practiced.

Indeed, over the past few years, it has begun to usher in a new and exciting era of knowledge discovery and information retrieval research. On the one hand, with a huge volume of Internet based, mobile and sensor-generated multimedia data reaching to Exabyte scale, how to develop advanced data mining/information retrieval techniques and systems is becoming more and more important. Many believe location based multimedia big data analysis and retrieval offers the scholars from different disciplines a unique opportunity to design, implement and test methodical approaches and (or) intelligent systems at many different levels using many different ways. In addition to the underlying technologies, location based multimedia big data analytics includes location-centric and user-centric methodologies and processes can be applied to a wide range of novel applications such as market intelligence, e-commerce and urban planning.

This special session is devoted to the publications of high-quality and high-impact research results on technical developments and practical applications around social, geo-media big data analysis and retrieval. It will serve as a forum for recent advances in the fields of social and geo- media content analysis, mining, search, and emerging new applications, such as multimedia big data analysis for geolocation modeling, geo-media systems, context-aware advertising, and personalized socio-mobile experience.

Scope and Topics

The special session of ICMR 2015 invites unpublished, original research relating to all aspects of big location based media analytics and retrieval. Relevant topics include, but are not limited to, the following:

  • Contextual models for social geo-media analysis
  • Techniques, processes, and methods for harvesting location based big multimedia data
  • Efficient learning and mining algorithms for social geo-media analysis
  • Cloud support and deep learning for social geo-media analysis and retrieval
  • Multimedia indexing and mining on mobile devices
  • Social media interaction and visualization on mobile devices
  • Location-based media modeling
  • Social geo-media recommendation
  • Human-centered geolocation
  • New applications (e.g., data management system and user modeling)


Xueming Qian, Xi'an Jiaotong University, Xi'An, China.

Jialie Shen, Singapore Management University, Singapore.

Y. Raymond Fu, Northeastern University, Boston, USA.


Deadline: January 25, 2015, 11:59 PM PST

Please submit your work using the EasyChair conference website.

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