Multimodal-based Diversified Summarization in Social Image Retrieval
DANG NGUYEN, DUC TIEN;PIRAS, LUCA;GIACINTO, GIORGIO;
2015-01-01
Abstract
In this paper, we describe our approach and its results for the MediaEval 2015 Retrieving Diverse Social Images task. The main strength of the proposed approach is its flexibility that permits to filter out irrelevant images, and to obtain a reli- able set of diverse and relevant images. This is done by first clustering similar images according to their textual descrip- tions and their visual content, and then extracting images from different clusters according to a measure of user’s cred- ibility. Experimental results shown that it is stable and has little fluctuation in both single-concept and multi-concept queries.File | Size | Format | |
---|---|---|---|
Paper21.pdf open access
Type: versione editoriale
Size 755.79 kB
Format Adobe PDF
|
755.79 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.