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» Combining Textual and Visual Features for Image Retrieval
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ICDE
2006
IEEE
191views Database» more  ICDE 2006»
15 years 11 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
ICIP
2000
IEEE
15 years 11 months ago
Distributional Clustering for Efficient Content-Based Retrieval of Images and Video
In this paper, we presentan approach to clustering images for efficient retrieval using relative entropy. We start with the assumption that visual features are represented by prob...
Giridharan Iyengar, Andrew Lippman
ICIP
2010
IEEE
14 years 7 months ago
Spatio-temporal combination of saliency maps and eye-tracking assessment of different strategies
The modeling of the human visual attention into a computational attention model leads to the split of visual features into several independent channels. Then, a difficult problem ...
Christel Chamaret, Jean-Claude Chevet, Olivier Le ...
MIE
2008
160views Healthcare» more  MIE 2008»
14 years 11 months ago
Using Medline Queries to Generate Image Retrieval Tasks for Benchmarking
Medical visual information retrieval has been a very active research area over the past ten years as an increasing amount of images is produced digitally and made available in the ...
Henning Müller, Jayashree Kalpathy-Cramer, Wi...
MM
2005
ACM
178views Multimedia» more  MM 2005»
15 years 3 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan