Title :
Exploiting prior knowledge in mobile visual location recognition
Author :
Schroth, G. ; Huitl, R. ; Abu-Alqumsan, M. ; Schweiger, F. ; Steinbach, E.
Author_Institution :
Inst. for Media Technol., Tech. Univ. Munchen, Munich, Germany
Abstract :
Mobile visual location recognition needs to be performed in real-time for location based services to be perceived as useful. We describe and validate an approach that eliminates the network delay by preloading partial visual vocabularies to the mobile device. Retrieval performance is significantly increased by composing partial vocabularies based on the uncertainty about the location of the client. This way, prior knowledge is efficiently integrated into the matching process. Based on compressed feature sets, infrequently uploaded from the mobile device, the server estimates the client location and its uncertainty by fusing consecutive query results using a particle filter.
Keywords :
image coding; image matching; image recognition; mobile handsets; particle filtering (numerical methods); compressed feature sets; location based services; matching process; mobile device; mobile visual location recognition; network delay; partial visual vocabularies; particle filter; Delay; Mobile communication; Mobile handsets; Quantization; Servers; Visualization; Vocabulary; Bag-of-Features; Image Retrieval; Mobile Visual Location Recognition;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288388