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» Image retrieval on large-scale image databases
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CVPR
2008
IEEE
14 years 6 months ago
Lost in quantization: Improving particular object retrieval in large scale image databases
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
ICMCS
2007
IEEE
255views Multimedia» more  ICMCS 2007»
13 years 10 months ago
Distributed Architecture for Large Scale Image-Based Search
In recent years, some computer vision algorithms such as SIFT (Scale Invariant Feature Transform) have been employed in image similarity match to perform image-based search applic...
Yu Zheng, Xing Xie, Wei-Ying Ma
CVPR
2009
IEEE
1289views Computer Vision» more  CVPR 2009»
14 years 11 months ago
Bundling Features for Large Scale Partial-Duplicate Web Image Search
In state-of-the-art image retrieval systems, an image is represented by a bag of visual words obtained by quantizing high-dimensional local image descriptors, and scalable schem...
Zhong Wu (Tsinghua University), Qifa Ke (Microsoft...
ICCV
2009
IEEE
13 years 2 months ago
Efficient indexing for large scale visual search
With the popularity of "bag of visual terms" representations of images, many text indexing techniques have been applied in large-scale image retrieval systems. However, ...
Xiao Zhang, Zhiwei Li, Lei Zhang, Wei-Ying Ma, Heu...
ISVC
2007
Springer
13 years 10 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...