IEEE Multimedia - Call for Papers
Large-Scale Multimedia Corpus, Retrieval and Mining
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.
15 Apr 25 Apr 2010: Full
submission due (please see the Author Resources page at http://www.computer.org/multimedia/author.htm
• 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
Rong Yan (Facebook)