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ICIP
1999
IEEE
15 years 11 months ago
Water-Filling: A Novel Way for Image Structural Feature Extraction
The performance of a content based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. In this paper, a new ap...
Xiang Sean Zhou, Yong Rui, Thomas S. Huang
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
14 years 8 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
15 years 3 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
PRL
2006
117views more  PRL 2006»
14 years 9 months ago
Multiscale Fourier descriptors for defect image retrieval
Shape is an essential visual feature of an image and it is widely used to describe image content in image classification and retrieval. In this paper, two new Fourier-based approa...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
CIVR
2007
Springer
104views Image Analysis» more  CIVR 2007»
14 years 11 months ago
Shape based 3D model retrieval without query
Susumu Endo, Takayuki Baba, Shuichi Shiitani, Yusu...