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ICDE
2006
IEEE
191views Database» more  ICDE 2006»
16 years 15 days 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
ICCV
2007
IEEE
16 years 1 months ago
Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Hichem Sahbi, Jean-Yves Audibert, Renaud Keriven
VIP
2003
15 years 15 days ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
ISMIS
1997
Springer
15 years 3 months ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
ICIAP
2007
ACM
15 years 5 months ago
Robust Face Matching Under Large Occlusions
Outliers due to occlusions and contrast and offset signal deviations notably hinder recognition and retrieval of facial images. We propose a new maximum likelihood matching score ...
Georgy L. Gimel'farb, Patrice Delmas, John Morris,...