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» Document Retrieval Using SIFT Image Features
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CEE
2010
67views more  CEE 2010»
15 years 2 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye
MVA
1996
109views Computer Vision» more  MVA 1996»
15 years 3 months ago
Image Features Based on a Mixed Fractal Model and Evaluation of Their Effectiveness in Image Retrieval
Many research works on content-based image retrieval have made use of image features. On the other hand, many kinds of image features have also been developed in the research fiel...
Toshinori Hayashi, Yuzuru Tanaka
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
15 years 9 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels
AUGHUMAN
2010
15 years 12 days ago
On-line document registering and retrieving system for AR annotation overlay
We propose a system that registers and retrieves text documents to annotate them on-line. The user registers a text document captured from a nearly top view and adds virtual annot...
Hideaki Uchiyama, Julien Pilet, Hideo Saito
CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
15 years 8 months ago
Region Filtering Using Color and Texture Features for Image Retrieval
This paper presents a region-based image retrieval (RBIR) system in which users can choose specific regions as the query. Our goal is to assist the user to formulate more precise q...
Cheng-Chieh Chiang, Ming-Han Hsieh, Yi-Ping Hung, ...