TY - GEN
T1 - Vocabulary tree incremental indexing for scalable location recognition
AU - Ji, Rongrong
AU - Xie, Xing
AU - Yao, Hongxun
AU - Wu, Yongjian
AU - Ma, Wei-Ying
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2008
Y1 - 2008
N2 - This work aims at developing a scalable vision-based location recognition system where the backend database can be updated incrementally. Our proposed framework enables incremental indexing of vocabulary tree model, which efficiently includes new data into model refinement without re-generating entire model from overall dataset. An adaption trigger criterion is presented to lessen system computational cost, which is achieved by density-based relative entropy estimation between original dataset and newly coming data. Experiments on Seattle urban scene datasets with over 20K street-side images show the effectiveness of our work. © 2008 IEEE.
AB - This work aims at developing a scalable vision-based location recognition system where the backend database can be updated incrementally. Our proposed framework enables incremental indexing of vocabulary tree model, which efficiently includes new data into model refinement without re-generating entire model from overall dataset. An adaption trigger criterion is presented to lessen system computational cost, which is achieved by density-based relative entropy estimation between original dataset and newly coming data. Experiments on Seattle urban scene datasets with over 20K street-side images show the effectiveness of our work. © 2008 IEEE.
KW - Data similarity
KW - Incremental indexing
KW - Location recognition
KW - Scene retrieval
KW - Vocabulary tree
UR - https://www.scopus.com/pages/publications/54049128535
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-54049128535&origin=recordpage
U2 - 10.1109/ICME.2008.4607573
DO - 10.1109/ICME.2008.4607573
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781424425716
T3 - 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
SP - 869
EP - 872
BT - 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
T2 - 2008 IEEE International Conference on Multimedia and Expo, ICME 2008
Y2 - 23 June 2008 through 26 June 2008
ER -