LAPI @ 2017 Retrieving Diverse Social Images Task: A Pseudo-Relevance Feedback Diversification Perspective

In this paper we present the results achieved during the 2017 MediaEval Retrieving Diverse Social Images Task, using an approach based on pseudo-relevance feedback (RF), in which human feedback is replaced by an automatic selection of images. The proposed approach is designed to have in priority the diversification of the results, in contrast to most of the existing techniques that address only the relevance. Diversification is achieved by exploiting a hierarchical clustering (HC) scheme followed by a diversification strategy. Methods are tested on the benchmarking data and results are analyzed. Insights for future work conclude the paper.