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» The Terminological Image Retrieval Model
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ICIP
2005
IEEE
14 years 1 months ago
Content-based medical image retrieval using dynamically optimized regional features
This paper proposes a content-based medical image retrieval (CBMIR) framework using dynamically optimized features from multiple regions of medical images. These regional features...
Wei Xiong, Bo Qiu, Qi Tian, Changsheng Xu, Sim Hen...
SMI
2008
IEEE
181views Image Analysis» more  SMI 2008»
14 years 2 months ago
SHREC - 08 entry: Local 2D visual features for CAD Model retrieval
A local shape feature has an advantage in dealing with deformable or articulated 3D models. We evaluate the performance of our local, 2D visual features and their integration meth...
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi
ICMCS
2007
IEEE
167views Multimedia» more  ICMCS 2007»
13 years 7 months ago
A Probability Model for Image Annotation
Automatic image annotation is a promising solution to enable more effective image retrieval by keywords. Traditionally, statistical models for image auto-annotation predicate each...
Yong Ge, Richang Hong, Zhiwei Gu, Rong Zhang, Xiuq...
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 28 days ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
MMDB
2003
ACM
132views Multimedia» more  MMDB 2003»
14 years 28 days 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 ...