DocumentCode
3612305
Title
Guest Editorial: Big Media Data: Understanding, Search, and Mining
Author
Wang, Jingdong ; Qi, Guo-Jun ; Sebe, Nicu ; Aggarwal, Charu C.
Author_Institution
Microsoft Research, Beijing, China
Volume
1
Issue
3
fYear
2015
Firstpage
82
Lastpage
83
Abstract
The papers in this special section focus on the topic of Big Data. There has been an explosive increase in media data, such as images, videos and social media in the Internet, mobile devices, and desktops. Accordingly, the area of big media data has been attracting a lot of research interest from both academia and industry. Big media data offers a promising possibility for in-depth media understanding, as well as exploring the very big scale media data to bridge the well-known semantic gap between high-level semantics and low-level features. It provides richer information, ranging from social relations to context information associated to rich media data of diverse modalities. It also provides us the opportunity to mine reliable and helpful knowledge from big media data for a wide variety of applications.
Keywords
Data mining; Machine learning; Special issues and sections;
fLanguage
English
Journal_Title
Big Data, IEEE Transactions on
Publisher
ieee
Type
jour
DOI
10.1109/TBDATA.2015.2504198
Filename
7355488
Link To Document