articleJun 1, 2013Closed access

All About VLAD

University of Oxford

Indexed incrossref

Abstract

The objective of this paper is large scale object instance retrieval, given a query image. A starting point of such systems is feature detection and description, for example using SIFT. The focus of this paper, however, is towards very large scale retrieval where, due to storage requirements, very compact image descriptors are required and no information about the original SIFT descriptors can be accessed directly at run time. We start from VLAD, the state-of-the art compact descriptor introduced by Jegou et al. for this purpose, and make three novel contributions: first, we show that a simple change to the normalization method significantly improves retrieval performance, second, we show that vocabulary…

Citation impact

722
total citations
FWCI
67.47
Percentile
100%
References
25
Citations per year

Authors

2

Topics & keywords

Keywords
  • Scale-invariant feature transform
  • Computer science
  • Normalization (sociology)
  • Image retrieval
  • Artificial intelligence
  • Visualization
  • Vocabulary
  • Pattern recognition (psychology)
UN Sustainable Development Goals
  • Quality Education
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