Diversity and credibility for social Images and image retrieval

By Ionescu Bogdan, Mihai Lupu, Maia Rohm, Alexandru Lucian Ginsca, and Henning Müller

Abstract

Social media has established itself as an inextricable component of today´s society. Images make up a large proportion of items shared on social media. The popularity of social image sharing has contributed to the popularity of the Retrieving Diverse Social Images task at the MediaEval Benchmarking Initiative for Multimedia Evaluation. Since its introduction in 2013, the task has attracted a large participation and has published a set of datasets of outstanding value to the multimedia research community.

Reference

I. Bogdan, M. Lupu, M. Rohm, A. Ginsca, H. Müller: "Diversity and credibility for social Images and image retrieval"; ACM SIGMM Records, 3 (2017).

BibTeX

@article{TUW-266936,     author = {Bogdan, Ionescu and Lupu, Mihai and Rohm, Maia and Ginsca, Alexandru Lucian and M{\"u}ller, Henning},     title = {Diversity and credibility for social Images and image retrieval},     journal = {ACM SIGMM Records},     year = {2017},     volume = {3},     url = {http://records.mlab.no/2017/12/21/diversity-and-credibility-for-social-images-and-image-retrieval/},     keywords = {MediaEval, benchmark, dataset, evaluation, diversification} } Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.