Downloads: 304

Files in This Item:
File Description SizeFormat 
BigMM.2016.34.pdf6.49 MBAdobe PDFView/Open
Title: Sightseeing value estimation by analyzing geosocial images
Authors: Shen, Yizhu
Ge, Min
Zhuang, Chenyi
Ma, Qiang  kyouindb  KAKEN_id  orcid (unconfirmed)
Author's alias: 梁, 雪峰
馬, 強
Keywords: Points of Interests
Sightseeing value
Geosocial image
human perception
image processing
Issue Date: 16-Aug-2016
Publisher: Institute of Electrical and Electronics Engineers Inc. (IEEE)
Journal title: 2016 IEEE Second International Conference on Multimedia Big Data (BigMM)
Start page: 117
End page: 124
Abstract: Recommending points of interests (POIs) is drawing more attention to meet the growing demand for tours. A POI's quality (sightseeing value) estimation is one of the important challenges. In contrast to conventional studies of ranking POIs based on user behavior analysis, in this paper, we propose methods of quality estimation by analyzing geosocial images. Our approach estimates the sightseeing value from two aspects: (1) nature value, and (2) culture value. For the nature value, we extract image features that are related to favorable human perception to verify whether a POI would meet tourists' psychological requirements. Three criteria, coherence, imageability and visual-scale, are defined accordingly. For the culture value, we recognize the cultural elements (i.e., architectures) included in a POI. In the experiments, by applying our methods on the real discovered POIs, we present the effect of our approach.
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
DOI(Published Version): 10.1109/BigMM.2016.34
Appears in Collections:Journal Articles

Show full item record

Export to RefWorks

Export Format: 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.