Guest Editorial: Large-scale multimedia content analysis on social media

Li, Haojie; Zha, Zheng-Jun; Huet, Benoit; Tian, Qi
Multimedia Tools and Applications, February 2016, Vol.75, N°3

Recent years have witnessed the emerging and booming of social platforms (e.g.,
Facebook, Instagram, YouTube ,and Flickr etc.), where people record, share/broadcast, and comment on media content, i.e., images and videos, leading to an accelerated proliferation of social media on the Internet. The rapid increase of social media has raised numerous new research challenges to multimedia content analysis. On the other hand, the availability of massive social media has also presented many exciting opportunities and challenges to attack in particular within the field of multimedia content analysis. This special issue aims to report recent research on large-scale social multimedia analysis and presents papers dealing with the various topics in this field. After rigorous reviewing, 11 papers were accepted for publication in MTAP. These papers cover most aspects for social media analysis. In particular, the papers of this issue concern (i) feature description and indexing for social media content, (ii) semantic understanding of social media, (iii) efficiency strategy for large scale practical social media analysis systems, (iv) social multimedia enabled applications, (v) social image processing and finally (vi) evaluations for social video content analysis. They are briefly discussed as follows.

DOI
Type:
Journal
Date:
2016-02-02
Department:
Data Science
Eurecom Ref:
4882
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in Multimedia Tools and Applications, February 2016, Vol.75, N°3 and is available at : http://dx.doi.org/10.1007/s11042-016-3255-z

PERMALINK : https://www.eurecom.fr/publication/4882