DocumentCode :
248804
Title :
Improving VLAD: Hierarchical coding and a refined local coordinate system
Author :
Eggert, Christian ; Romberg, Stefan ; Lienhart, Rainer
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3018
Lastpage :
3022
Abstract :
The enormous growth of image databases calls for new techniques for fast and effective image search that scales with millions of images. Most importantly, the setting requires a compact but also descriptive image signature. Recently, the vector of aggregated local descriptors (VLAD) [1] has received much attention in large-scale image retrieval. In this paper we present two modifications for VLAD which improve the retrieval performance of the signature.
Keywords :
image coding; image retrieval; visual databases; VLAD; descriptive image signature; hierarchical coding; image databases; image search; large-scale image retrieval; refined local coordinate system; vector of aggregated local descriptors; Computer vision; Conferences; Encoding; Principal component analysis; Vectors; Visualization; Vocabulary; LCS; VLAD; compact signatures; image retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025610
Filename :
7025610
Link To Document :
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