Process of Social Network Analysis

Kazienko, Przemysław

doi:10.1007/978-1-4614-7163-9_244-1

Cited by 1 publication

(2 citation statements)

References 14 publications

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“…The distribution of the tweet photos share similar textual information. The first is derived from the tweet events in our case, instead of [12] where a simple textual information is exploited to discard unrelated images. This is one of the main innovation elements of this work since we relate the properties of Twitter for the 3D reconstruction using unstructured, uncalibrated, and not properly annotated images.…”

Section: An Overview Of the Proposed Approachmentioning

confidence: 99%

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Automatic 3D Modeling and Reconstruction of Cultural Heritage Sites from Twitter Images

et al. 2020

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This paper presents an approach for leveraging the abundance of images posted on social media like Twitter for large scale 3D reconstruction of cultural heritage landmarks. Twitter allows users to post short messages, including photos, describing a plethora of activities or events, e.g., tweets are used by travelers on vacation, capturing images from various cultural heritage assets. As such, a great number of images are available online, able to drive a successful 3D reconstruction process. However, reconstruction of any asset, based on images mined from Twitter, presents several challenges. There are three main steps that have to be considered: (i) tweets’ content identification, (ii) image retrieval and filtering, and (iii) 3D reconstruction. The proposed approach first extracts key events from unstructured tweet messages and then identifies cultural activities and landmarks. The second stage is the application of a content-based filtering method so that only a small but representative portion of cultural images are selected to support fast 3D reconstruction. The proposed methods are experimentally evaluated using real-world data and comparisons verify the effectiveness of the proposed scheme.

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Section: An Overview Of the Proposed Approachmentioning

confidence: 99%

“…Twitter is a popular and widely used microblogging service, as manifested by the hundreds of millions of new tweet microposts that are posted online daily, providing various research opportunities in data extraction and information retrieval [10][11][12]. In addition, tweets may contain photos.…”

Section: Introductionmentioning

confidence: 99%