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» Statistical Shape Features in Content-Based Image Retrieval
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ISBI
2004
IEEE
14 years 8 months ago
Search Space Partitioning Using Convex Hull and Concavity Features for Fast Medical Image Retrieval
A new approach is presented for partitioning an image database by classifying and indexing the convex hull shapes and the number of region concavities. The result is a significant...
Phillip Mlsna, Nikolay Sirakov
ISVC
2009
Springer
14 years 2 months ago
A Bag of Features Approach for 3D Shape Retrieval
In this paper, we present an adaptation the Bag of Features (BoF) concept to 3D shape retrieval problems. The BoF approach has recently become one of the most popular methods in 2D...
Janis Fehr, Alexander Streicher, Hans Burkhardt
ICMCS
2006
IEEE
171views Multimedia» more  ICMCS 2006»
14 years 2 months ago
New Area Matrix-Based Affine-Invariant Shape Features and Similarity Metrics
A near-planar object seen from different viewpoints results in differently deformed images. Under some assumptions, viewpoint changes can be modeled by affine transformations. Sh...
Carlos Ramon Pantaleon Dionisio, Hae Young Kim
ICIAR
2004
Springer
14 years 1 months ago
CVPIC Compressed Domain Image Retrieval by Colour and Shape
Image retrieval and image compression have been pursued separately in the past. Only little research has been conducted on a synthesis of the two by allowing image retrieval to be ...
Gerald Schaefer, Simon Lieutaud
ICMCS
2000
IEEE
142views Multimedia» more  ICMCS 2000»
14 years 13 days ago
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Qi Tian, Ying Wu, Thomas S. Huang