Representativeness and Diversity in Photos via Crowd-Sourced Media Analysis

Anca-Livia, Radu and Stöttinger, Julian and Ionescu, Bogdan and Menéndez, María and Giunchiglia, Fausto (2012) Representativeness and Diversity in Photos via Crowd-Sourced Media Analysis. Trento : Università degli Studi di Trento. (In Press)

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    Abstract

    In this paper we present a hybrid three steps mechanism for automated-human media analysis employed for selecting a small number of representative and diverse images in the context of a noisy set of images. The first step consists in the automatic retrieval from web of a large database of candidate images. In the second step, a proposed image analysis method is employed with the goal of diminishing the time, pay and cognitive load and implicitly people’s work. This is done by automatically selecting a set of potentially relevant and diverse images. Considering the semantic gap between low-level features and high-level semantics in images, the last step is necessary and consists in images being annotated and assessed by the crowd. The aim is to evaluate the level of representativeness and diversity of the selected set of images and providing images of highest quality. The method was validated in the context of the retrieval of images with monuments and using more than 30,000 images retrieved from various social image search platforms.

    Item Type: Departmental Technical Report
    FP7 Grant Agreement Number: info:eu-repo/grantAgreement/EC/FP7/287704
    Publisher policy set phrase: Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA076 Computer software
    Uncontrolled Keywords: image retrieval, image re-ranking, social media, text-based and GPS-based image retrieval, crowd-sourcing
    Additional Information: Submitted at ACM MM12 conference; also in "10th International Workshop on Adaptive Multimedia Retrieval - AMR 2012, October 24-25, Copenhagen, Denmark, 2012".
    Report Number: DISI-12-026
    Repository staff approval on: 31 Jul 2012 14:37

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