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» Boosting Image Retrieval
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CVPR
2003
IEEE
16 years 7 months ago
Estimating the photorealism of images: Distinguishing paintings from photographs
Automatic classification of an image as a photograph of a real-scene or as a painting is potentially useful for image retrieval and website filtering applications. The main contri...
Florin Cutzu, Riad I. Hammoud, Alex Leykin
MICCAI
2005
Springer
16 years 5 months ago
Optimal Embedding for Shape Indexing in Medical Image Databases
Fast retrieval using organ shapes is crucial in medical image databases since shape is a clinically prominent feature. In this paper, we propose that 2-D shapes in medical image da...
Xiaoning Qian, Hemant Tagare
ISBI
2006
IEEE
16 years 5 months ago
Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system
This work is motivated by the need for visual information extraction and management in the growing field of content based image retrieval from medical archives. In particular it f...
Gali Zimmerman, Shiri Gordon, Hayit Greenspan
CVPR
2010
IEEE
16 years 1 months ago
Context-Constrained Hallucination for Image Super-Resolution
This paper proposes a context-constrained hallucination approach for image super-resolution. Through building a training set of high-resolution/low-resolution image segment pairs,...
Jian Sun, Jiejie Zhu, Marshall Tappen
ICASSP
2009
IEEE
15 years 11 months ago
Color image feature extraction using color index local auto-correlations
In this paper, we propose a method for extracting color image features, called color index local auto-correlations. Pixel color is quantized and described sparsely in a manner sim...
Takumi Kobayashi, Nobuyuki Otsu