TY - GEN
T1 - Image re-ranking using graph based spanning structures and reciprocal nearest neighbors
AU - Mocanu, B.
AU - Tapu, R.
AU - Zaharia, T.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/10
Y1 - 2016/3/10
N2 - In this paper we propose a novel method to improve the performance of image retrieval at VLAD (Vector of Locally Aggregated Descriptors) level. Our re-ranking algorithm uses relational graphs and the top- & neighborhood candidates to adaptively modify images similarity scores. The method is effective and increases the accuracy, without relying on low-level information or features geometrical verification.
AB - In this paper we propose a novel method to improve the performance of image retrieval at VLAD (Vector of Locally Aggregated Descriptors) level. Our re-ranking algorithm uses relational graphs and the top- & neighborhood candidates to adaptively modify images similarity scores. The method is effective and increases the accuracy, without relying on low-level information or features geometrical verification.
U2 - 10.1109/ICCE.2016.7430681
DO - 10.1109/ICCE.2016.7430681
M3 - Conference contribution
AN - SCOPUS:84965141863
T3 - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016
SP - 437
EP - 438
BT - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016
A2 - Bellido, Francisco J.
A2 - Vun, Nicholas C. H.
A2 - Dolar, Carsten
A2 - Diaz-Sanchez, Daniel
A2 - Ling, Wing-Kuen
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016
Y2 - 7 January 2016 through 11 January 2016
ER -