Large-scale geosocial multimedia

CORC > 厦门大学 > 信息技术－已发表论文

	Large-scale geosocial multimedia
	Ji, Rongrong ; Yang, Yi ; Sebe, Nicu ; Aizawa, Kiyoharu ; Cao, Liangliang ; Ji RR(纪荣嵘)
刊名	http://dx.doi.org/10.1109/MMUL.2014.43
	2014
关键词	Signal processing
英文摘要	With the advance of the Web 2.0 era came an explosive growth of geographical multimedia data shared on social network websites such as Flickr, YouTube, Facebook, and Zooomr. Location-aware media description, modeling, learning, and recommendation in pervasive social media analytics have become a key focus of the recent research in computer vision, multimedia, and signal processing societies. A new breed of multimedia applications that incorporates image/video annotation, visual search, content mining and recommendation, and so on may revolutionize the field. Combined with the popularity of location-aware social multimedia, location context data makes traditionally challenging problems more tractable. This special issue brings together active researchers to share recent progress in this exciting area. This issue highlights the latest developments in large-scale multiple evidence-based learning for geosocial multimedia computing and identifies several key challenges and potential innovations. ? 2014 IEEE.
语种	英语
出版者	IEEE Computer Society
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92867]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Ji, Rongrong,Yang, Yi,Sebe, Nicu,et al. Large-scale geosocial multimedia[J]. http://dx.doi.org/10.1109/MMUL.2014.43,2014.
APA	Ji, Rongrong,Yang, Yi,Sebe, Nicu,Aizawa, Kiyoharu,Cao, Liangliang,&纪荣嵘.(2014).Large-scale geosocial multimedia.http://dx.doi.org/10.1109/MMUL.2014.43.
MLA	Ji, Rongrong,et al."Large-scale geosocial multimedia".http://dx.doi.org/10.1109/MMUL.2014.43 (2014).