Bilkent-RETINA at Retrieving Diverse Social Images Task of MediaEval 2014

Diversity: a set of photos is considered to be diverse if it depicts different visual characteristics of the target location, as stated by the relevance definition above, with a

From the visual processing perspective, we plan to improve on result diversification by either using other clustering approaches (e.g., allowing Flickr images to build an own

We pro- pose a novel approach based on Formal Concept Analysis (FCA) to detect the latent topics related to the images and a later Hierarchical Agglomerative Clustering (HAC) to

Focused on image retrieval, the MediaEval 2014 Retrieving Diverse Social Images Task [1] was proposed to foster the development and evaluation of methods for re- trieving diverse

• RUN5 is obtained using the Caffe visual descriptor for image retrieval and clustering and predicted credibility scores for cluster ranking.. Our textual run (RUN2) is the single

The 2014 MediaEval Retrieving Diverse Social Images Task tackles the problem of search result diversification of Flickr results sets formed from queries about geographic places

Experimental Protocol: Depending on the type of the run (visual/textual/both) a variety of different (vector) rep- resentations of the images could be utilized for building

Although we obtained better result with Bayesian inference approach in the development tests, with the test data, weighted linear fusion has the second place in F1@20 measure..