DocumentCode :
619833
Title :
Image search via non-parametric quantum theory ranking
Author :
Zhu Songhao ; Sun Wei ; Hu Juanjuan
Author_Institution :
Sch. of Autom., Nanjing Univ. of Post & Telecommun., Nanjing, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
962
Lastpage :
966
Abstract :
Recently learning to rank has become one of the popular means to create a ranking model for social image search. However, the results of existing approaches are not as satisfactory for the large gap between low-level visual features and high-level semantic concepts, and these sophisticated approaches require a significant amount of parameters tuning to be effective and efficient. In this paper, we propose a novel framework for social image re-ranking based on a non-parametric quantum technique, which re-ranks top retrieved images by considering the inter-relationship between images through the quantum estimation and requires no explicit parameter tuning. The basic idea of the proposed framework is inspired by the photon polarization experiment supporting the theory of quantum measurement. Experimental results conducted on the Flickr dataset demonstrate the effectiveness and efficiency of the proposed framework.
Keywords :
image retrieval; learning (artificial intelligence); photon polarisation; quantum theory; social networking (online); Flickr dataset; high-level semantic concepts; image retrieval; learning to rank; low-level visual features; nonparametric quantum technique; nonparametric quantum theory ranking; parameter tuning; photon polarization experiment; quantum estimation; quantum measurement theory; social image reranking; social image search; Computer vision; Conferences; Educational institutions; Electronic mail; Image retrieval; Multimedia communication; Tuning; Flickr datasheet; Image search; non-parametric approach; quantum measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561062
Filename :
6561062
Link To Document :
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