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Important Dates

Special session proposal due:
30-April-2014
Workshop proposal due:
30-April-2014 31 May 2014
Tutorial Proposal Submission:
30-April-2014 31 May 2014
Full/short paper submission:
31-May-2014 11-July-2014
Demo paper submission:
15-June-2014 11-July-2014
Notification of acceptance:
10-Aug-2014 1-Sept-2014
Camera ready submission:
31-Aug-2014 18-Sept-2014



International Workshop on Multimedia Big Data Analytics (MBDA 2014)

in conjunction with Pacific-Rim Conference on Multimedia (PCM), Dec. 1-4, 2014, Malaysia


“Big Data” has become a ubiquitous term in recent years and multimedia is becoming the “biggest Big Data.” Multimedia big data comes from sources as varied as security cameras, medical imaging, and individuals sharing media on social networks. Cities are installing hundreds of millions of video cameras worldwide for safety, security and law enforcement. Medical institutions are producing huge quantities of diagnostic images. Web users are posting 300 hundred million photos to Facebook per day and uploading 72 video-hours to YouTube per minute. Multimedia data is not just big in volume, but also multi-modal and unstructured. It is the most important and valuable source for insights and information

The availability of massive and complex multimedia data presents a growing need for effective and efficient analytics of the data. This is spurring on tremendous amount of research and development of techniques and platforms for analyzing multimedia big data. This workshop aims to bring together researchers and industrial practitioners interested in multimedia big data analytics. The workshop will provide a venue for the participants to discuss key research issues on multimedia big data. It will collect and seek the recent important research works in this area, summarize the available resources, and exploit potential challenges and possible advanced solutions in terms of theory and practice.

Topics of interest include, but are not limited to:
  • Novel theoretical models for multimedia big data analytics
  • New computational methods for multimedia big data analytics
  • Efficient learning algorithms for scalable multimedia data analytics
  • Indexing, ranking and retrieval on big volume of multimedia data
  • Cross-media and multi-modal analysis of multimedia big data
  • Scalable learning and analytics on big volume of social media
  • High performance/parallel computing platforms for multimedia big data
  • Open-source software libraries for analytics on multimedia big data

The Proceedings of MBDA 2014 Workshop has been accepted for publication of revised papers as an LNCS post-proceedings. Authors are invited to submit a 10-page paper in the Lecture Notes in Computer Science (LNCS) format. More submission guidelines are available on the PCM 2014 Website. Papers should be submitted electronically in PDF via EasyChair: https://www.easychair.org/conferences/?conf=mbda2014. Any paper, that is under review or has already been published or accepted for publication in a journal or another conference, is not permitted.

Important Dates:
Paper submission: September 30, 2014   October 28th, 2014
Notification of acceptance: November 10, 2014
Camera-ready submission: November 18, 2014

Organizers:
Zheng-Jun Zha, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, China
( junzzustc@gmail.com )
Guo-Jun Qi, IBM T. J. Watson Research Center, USA
( guojunq@gmail.com )
Vasileios Mezaris, Information Technologies Institute, Centre of Research and Technology Hellas (CERTH), Greece
( bmezaris@iti.gr )

Call for Workshop Proposals


http://www.springer.com/lncs