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» Image Retrieval: The MIRACLE Approach
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CVPR
2011
IEEE
14 years 10 months ago
Image Retrieval with Geometry-Preserving Visual Phrases
The most popular approach to large scale image retrieval is based on the bag-of-visual-word (BoV) representation of images. The spatial information is usually reintroduced as a po...
Yimeng Zhang, Zhaoyin Jia, Tsuhan Chen
258
Voted
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
16 years 4 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
151
Voted
CVPR
2011
IEEE
14 years 10 months ago
Hierarchical Semantic Indexing for Large Scale Image Retrieval
This paper addresses the problem of similar image retrieval, especially in the setting of large-scale datasets with millions to billions of images. The core novel contribution is ...
Jia Deng, Alexander Berg, Li Fei-Fei
139
Voted
MTA
2000
165views more  MTA 2000»
15 years 3 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
CIVR
2005
Springer
144views Image Analysis» more  CIVR 2005»
15 years 9 months ago
A Weakly Supervised Approach for Semantic Image Indexing and Retrieval
This paper presents a new approach for building semantic image indexing and retrieval systems. Our approach is composed of four phases : (1) knowledge acquisition, (2) weakly-super...
Nicolas Maillot, Monique Thonnat