IEEE Multimedia - Call for Papers

Large-Scale Multimedia Corpus, Retrieval and Mining

1.            Introduction

Recent years have witnessed an explosive growth of multimedia content driven by the wide availability of massive storage devices, high-resolution video cameras and fast networks.  Stimulated by recent progress in scalable machine learning, feature indexing and multi-modal analysis techniques, researchers are becoming increasingly interested in exploring challenges and new opportunities for developing much larger scale approaches for multimedia retrieval and mining.  Many of these computationally-intensive ideas are now becoming practical because of the broader availability of high-speed clusters and the advent of cloud computing.  

The IEEE MultiMedia Large-Scale Multimedia Corpus, Retrieval and Mining special issue solicits original articles on large-scale multimedia retrieval and mining that will be of great interest for IEEE MultiMedia readers.

The list of possible topics includes, but is not limited to:

-          Construction, unification and evolution of corpus

-          Framework for sharing of dataset, ground truth, features, algorithms and tools

-          Indexing and retrieval for large multimedia collections (including images, video, audio and other multi-modal systems)

-          Near-duplicate detection over large data sets

-          Large-scale video event and temporal analysis over diverse sources

-          Web-scale social-network and content-network analysis

-          Automatic machine tagging, semantic annotation and object recognition on massive multimedia collections

-          Collaborative image and video annotation for distributed users

-          Interfaces for exploring, browsing and visualizing large multimedia collections

-          Scalable and distributed machine learning and data mining methods for multimedia data

-          Scalable and distributed multimedia content analysis systems

-          Performance evaluation methodologies and standards

2.        Submission Procedures

Submissions follow the same format as regular IEEE MultiMedia articles. All submitted articles will go through a single-blind peer review process by at least two expert reviewers to ensure a high standard of quality. Referees will consider originality, significance, technical soundness, clarity of exposition, and relevance to the special section topics.

3.        Important Dates

15 Apr 25 Apr 2010: Full submission due (please see the Author Resources page at for instructions).
• 1 July 2010: Authors notified of acceptance, rejection, or needed revisions.
• 1 Sept. 2010: Revisions due.
• 12 Oct. 2011: Final versions due.

4.        Guest Editors

Benoit Huet (EURECOM)


Rahul Sukthankar (Intel Research and Carnegie Mellon)


Rong Yan (Facebook)