Panorama to panorama matching for location recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312202" target="_blank" >RIV/68407700:21230/17:00312202 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3078971.3079033" target="_blank" >http://dx.doi.org/10.1145/3078971.3079033</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3078971.3079033" target="_blank" >10.1145/3078971.3079033</a>
Alternative languages
Result language
angličtina
Original language name
Panorama to panorama matching for location recognition
Original language description
Location recognition is commonly treated as visual instance retrieval on “street view” imagery. i.e. dataset items and queries are panoramic views, i.e. groups of images taken at a single location. This work introduces a novel panorama-to-panorama matching process, either by aggregating features of individual images in a group or by explicitly constructing a larger panorama. In either case, multiple views are used as queries. We reach near perfect location recognition on a standard benchmark with only four query views.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LL1303" target="_blank" >LL1303: Large Scale Category Retrieval</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICMR '17 Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval
ISBN
978-1-4503-4701-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
392-396
Publisher name
ACM
Place of publication
New York
Event location
Bucharest
Event date
Jun 6, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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