Call for Papers

 

International Workshop on

Advances in Large-Scale Multimedia Data Collection, Mining and Retrieval

 

9th - 13th July, 2012

Melbourne, Australia

 

In conjunction with IEEE International Conference on Multimedia and Expo. (ICME) 2012

 

Recent years have witnessed an explosive proliferation of digital multimedia data due to high processor speeds, the wide availability of massive storage devices, high-resolution video cameras, fast networks, and the advent of cloud computing. The huge and ever growing volume of multimedia data in online or in-house repositories, such as Flickr and YouTube, have led to a much higher requirement for multimedia data mining and retrieval in terms of effectiveness and efficiency. However, existing approaches and systems cannot meet such requirements. The increasing demand for mining and retrieval over large-scale multimedia data has attracted a wealth of research efforts in multimedia community. On the other hand, to facilitate research in this area, it is necessary to systematically evaluate and compare the performance of various approaches and systems. Thus sufficiently large benchmark datasets are expected. Recently, more and more research groups are individually constructing such datasets. There is a need to unify these individual efforts into the creation of a unified large-scale repository which would benefit the entire multimedia community.

 

This workshop aims to bring together researchers and industrial practitioners interested in large-scale multimedia data collection, mining and retrieval. The workshop will provide a venue for the participants to discuss key research issues on large-scale multimedia data. It will collect and seek the recent important research works in large-scale multimedia data collection, mining and retrieval, summarize the available resources in this area, and exploit potential challenges and possible advanced solutions in terms of theory and practice. Topics of interests include, but are not limited to, the following:

 

  • Construction, unification and evolution of large-scale multimedia data collections (including images, video, audio and other multi-modal data)
  • Feature extraction and representation for large-scale multimedia data
  • Efficient and scalable technologies for multimedia storage
  • Indexing, clustering, retrieval and browsing for large-scale multimedia data collections
  • Large scale object discovery
  • Compact visual representation for fast extraction and matching
  • Bag-of-Words model and extension for large scale object and duplication retrieval
  • Interactive image search
  • Real-time face/object search in videos
  • Image search applications to image editing
  • Parallelization of indexing and clustering algorithms
  • Collaborative multimedia tagging for distributed users
  • Semantic annotation, object recognition, copy detection, near/partial-duplicate detection on large-scale multimedia data
  • Scalable and distributed machine learning and data mining technologies for multimedia
  • Interfaces for exploring, browsing and visualizing large-scale multimedia data collections
  • Interactive search and retrieval for large-scale multimedia data collections
  • Machine learning for large-scale multimedia applications
  • Scalable and distributed systems for large-scale multimedia analysis and management
  • Exploration of social networks for large-scale multimedia computing

 

Authors are invited to submit original and unpublished papers limited to 6 pages. Please see the Author Information page for submission guidelines in the ICME 2012 website.

 

 

 

Important Dates

 

Paper submission due:                  March 5th, 2012

Notification of acceptance:            March 26th, 2012

Camera-ready paper due:             April 9th, 2012

 

General Chairs

 

Xian-Sheng Hua, Microsoft Corporation, USA

Heng Tao Shen, The University of Queensland, Australia

Dacheng Tao, The University of Technology, Sydney, Australia

 

Program Chairs

 

Ling Shao, The University of Sheffield, UK

Jingdong Wang, Microsoft Research Asia, China

Zheng-Jun Zha, National University of Singapore, Singapore

 

Technical Program Committee

 

To be invited soon.

 

 

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