Efficient indexing for large scale visual search
By Xiao Zhang, Zhiwei Li, Lei Zhang, Wei-Ying Ma, Harry Shum. 2009
61 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Retrieval & Search
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Andrew Zisserman
- Luc Van Gool
- Andrea Vedaldi
- Trevor Darrell
- Jitendra Malik
- Dacheng Tao
- Xiaogang Wang
- Cordelia Schmid
In Information Retrieval & Search
- Florent Perronnin
- Herv'e J'egou
- Ondřej Chum
- Matthijs Douze
- Cordelia Schmid
- Jorge Sánchez
- Andrew Zisserman
- Li Fei-Fei
Citations in the corpus
- Aggregating Local Image Descriptors into Compact Codes (2012, background): “However, while the decomposition is explicit in [33], it is”
- Residual Enhanced Visual Vectors for on-device image matching (2011, methodology): “An image decomposition model for BoF-based retrieval is presented in [16].”
- Improving the Fisher Kernel for Large-Scale Image Classification (2010, background): “However, while the decomposition is explicit in [24], it is implicit in the FK case.”
- Image retrieval using scene graphs (2015, methodology): “Content-based image retrieval methods typically use low-level visual feature representations [50, 6], indexing [11, 69, 27, 28, 59], efficient sub-image search [38], object-category based retrieval [5, 62, 4], and other methods of modeling image similarity [52] to retrieve images based on their…”
- Learning to Navigate the Energy Landscape (2016, background): “Significant work on building efficient index that can be used by LSH include [50] where the authors propose a compounds representation by decomposing images into background and image-specific information.”
- Large-scale image retrieval with compressed Fisher vectors (2010, background): “[27] decomposes an image into three layers: background information (which is discarded), information”
- Image retrieval with geometry-preserving visual phrases (2011, methodology): “Second, since we model the spatial interaction among the visual words, our current algorithm can not be applied to some dimension reduction methods that conduct linear transformations on the histogram of visual words [9, 22, 8].”
- FANNG: Fast Approximate Nearest Neighbour Graphs (2016, background): “The key innovation of this paper is the design of a graph structure that gives rise to efficient searching.”