Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/25302
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | SAMSONOV, Pavel | - |
dc.contributor.author | HELLER, Florian | - |
dc.contributor.author | Schöning, Johannes | - |
dc.date.accessioned | 2017-12-05T12:54:53Z | - |
dc.date.available | 2017-12-05T12:54:53Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Proceedings of 16th International Conference on Mobile and Ubiquitous Multimedia MUM 2017, ACM,p. 1-7 | - |
dc.identifier.isbn | 9781450353786 | - |
dc.identifier.uri | http://hdl.handle.net/1942/25302 | - |
dc.description.abstract | Choosing a seat for traveling can be a complex evaluation of constraints depending on personal preferences. There are websites that help to choose the best seat in a bus, in a train, or on an airplane. However, these recommendations only consider seat-related factors and not the view from the window. While a scenic view rarely influences the decision for a seat on a plane, it is much more important for train rides and especially for scenic bus tours. Therefore, travel website users often discuss which side offers the best view on a specific trip. We propose an algorithm, which decides on which side of the road the view is the most scenic based on Google Street View images. These results can be used by travelers to choose a seat and by scenic tour providers to balance the scenic views between sides or add options during checkout | - |
dc.description.sponsorship | We would like to thank the participants of our survey and personally Nina Wenig, who shared the survey amongst her colleagues. This work was supported through Hasselt University BOF14NI05 grant and Lichtenberg professorship of the Volkswagen Foundation and FCT/MCTES LARSyS (UID/EEA/50009/2013 (2015–2017). | - |
dc.language.iso | en | - |
dc.publisher | ACM | - |
dc.rights | 2017 Copyright held by the owner/author(s). Publication rights licensed to ACM. | - |
dc.subject.other | machine learning; Google Street View; scenic Routes | - |
dc.title | Autobus: Selection of Passenger Seats Based on Viewing Experience for Touristic Tours | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 26-29/11/2017 | - |
local.bibliographicCitation.conferencename | MUNM 2017 - 16th International Conference on Mobile and Ubiquitous Multimedia | - |
local.bibliographicCitation.conferenceplace | Stuttgart, Germany | - |
dc.identifier.epage | 326 | - |
dc.identifier.spage | 321 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | New York, NY, USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.class | dsPublValOverrule/author_version_not_expected | - |
dc.identifier.doi | 10.1145/3152832.3152846 | - |
dc.identifier.isi | 000463850100036 | - |
dc.identifier.url | https://www.researchgate.net/publication/320880764_Autobus_Selection_of_Passenger_Seats_Based_on_Viewing_Experience_for_Touristic_Tours | - |
local.bibliographicCitation.btitle | Proceedings of 16th International Conference on Mobile and Ubiquitous Multimedia MUM 2017 | - |
item.contributor | SAMSONOV, Pavel | - |
item.contributor | HELLER, Florian | - |
item.contributor | Schöning, Johannes | - |
item.accessRights | Open Access | - |
item.fullcitation | SAMSONOV, Pavel; HELLER, Florian & Schöning, Johannes (2017) Autobus: Selection of Passenger Seats Based on Viewing Experience for Touristic Tours. In: Proceedings of 16th International Conference on Mobile and Ubiquitous Multimedia MUM 2017, ACM,p. 1-7. | - |
item.fulltext | With Fulltext | - |
item.validation | vabb 2020 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
mum2017_paper_32.pdf | Published version | 4.31 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
2
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
2
checked on Apr 22, 2024
Page view(s)
72
checked on Sep 7, 2022
Download(s)
200
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.