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» Statistical Shape Features in Content-Based Image Retrieval
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ICDAR
2011
IEEE
12 years 7 months ago
Symbol Recognition by Multiresolution Shape Context Matching
—We present a multiresolution scheme for symbol representation and recognition based on statistical shape features. We define a symbol as a set of shape points, each of which is...
Feng Su, Tong Lu, Ruoyu Yang
CBMS
2002
IEEE
14 years 1 months ago
How to Add Content-based Image Retrieval Capability in a PACS
This paper presents a new Picture Archiving and Communication System (PACS), called cbPACS which has content-based image retrieval resources. The cbPACS answers similarity queries...
Josiane M. Bueno, Fabio Jun Takada Chino, Agma J. ...
MMDB
2003
ACM
132views Multimedia» more  MMDB 2003»
14 years 1 months ago
Image database retrieval utilizing affinity relationships
Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and highlevel semantic contents of images as this gap has bec...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
3DIM
2003
IEEE
13 years 11 months ago
Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification
A statistical representation of three-dimensional shapes is introduced, based on a novel four-dimensional feature. The feature parameterizes the intrinsic geometrical relation of ...
Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger
MM
2009
ACM
187views Multimedia» more  MM 2009»
14 years 23 days ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...