Essential to many tasks in relation to multimedia research and development is the availability of a sufficiently large data set and its corresponding ground truth. However, most available data for multimedia research is either too specific (e.g. data for text retrieval), too small (e.g. face figures), or without ground truth, such as gathering millions of un-preprocessed images from the web for testing.
While it is relatively easy to crawl and store a huge amount of data, the creation of ground truth necessary to systematically train, test, evaluate and compare the performance of various algorithms and systems remains a challenging issue. For this reason, researchers tend to put (or redirect) efforts into the creation of such corpus individually to carry out research on large-scale data sets. Thus the promising trend of united web-scale and distributed multimedia data management is urgently needed, which would benefit the entire multimedia research community.
This special issue intends to present and report on the construction and analysis of large-scale multimedia data sets and resources, and to provide a strong reference for multimedia researchers interested in large-scale multimedia data sets. In particular, the issue aims to demonstrate the emerging techniques and applications for large-scale multimedia data management. Original and research articles are solicited in all aspects including theoretical studies, practical applications, new techniques and experimental prototypes. All submitted papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue.
Suitable topics include, but are not limited to, the following:
- Algorithms, techniques, frameworks and models for multimedia computing
- Multimedia human-computer interaction
- Mobile and multi-device empowered multimedia
- Large-scale multimedia data management
- Ubiquitous/pervasive data for multimedia
- Social media and presence
- Cloud-based multimedia services
- Web-scale data management and analysis
- Security issues for multimedia computing
- Media/data transport, analysis and delivery
- Data searching, browsing and discovery
- Emerging systems, services and middleware
- Crowd-sourcing, authoring and collaboration
- Recent other issues in large-scale multimedia data
Important Dates
Submission of manuscripts: 31 October, 2016
Notification to authors: 31 December, 2016
Final versions due: 28 February, 2017
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