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» Image retrieval on large-scale image databases
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149
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ICIP
1999
IEEE
16 years 6 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
158
Voted
ICARCV
2002
IEEE
166views Robotics» more  ICARCV 2002»
15 years 9 months ago
Similarity measure determination from NURBS-warping method
With the advances in digital imagery, large accessible data storage, internet repositories, and image applications, information conveyed through images is gaining in importance. T...
Kim Meng Liang, Mandava Rajeswari, Bee Ee Khoo
VLDB
2001
ACM
146views Database» more  VLDB 2001»
16 years 4 months ago
Combining multi-visual features for efficient indexing in a large image database
Abstract. The optimized distance-based access methods currently available for multidimensional indexing in multimedia databases have been developed based on two major assumptions: ...
Anne H. H. Ngu, Quan Z. Sheng, Du Q. Huynh, Ron Le...
125
Voted
PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
15 years 10 months ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...
IRI
2003
IEEE
15 years 10 months ago
Damage Pattern Mining in Hurricane Image Databases
– We present a damage pattern mining framework for hurricane data on residential houses using aerial photographs with 1:3000 based scale. The vertical photographs are normally co...
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Wal...