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» An adaptive technique for content-based image retrieval
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GISCIENCE
2008
Springer
121views GIS» more  GISCIENCE 2008»
14 years 10 months ago
Identifying Maps on the World Wide Web
Abstract. This paper presents an automatic approach to mining collections of maps from the Web. Our method harvests images from the Web and then classifies them as maps or non-map...
Matthew Michelson, Aman Goel, Craig A. Knoblock
89
Voted
ICIP
2002
IEEE
15 years 11 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...
85
Voted
MIR
2005
ACM
128views Multimedia» more  MIR 2005»
15 years 3 months ago
Content-based image retrieval: approaches and trends of the new age
The last decade has witnessed great interest in research on content-based image retrieval. This has paved the way for a large number of new techniques and systems, and a growing i...
Ritendra Datta, Jia Li, James Ze Wang
ACIVS
2008
Springer
15 years 4 months ago
Scene Reconstruction Using MRF Optimization with Image Content Adaptive Energy Functions
Multi-view scene reconstruction from multiple uncalibrated images can be solved by two stages of processing: first, a sparse reconstruction using Structure From Motion (SFM), and ...
Ping Li, Rene Klein Gunnewiek, Peter H. N. de With
65
Voted
PRL
2000
104views more  PRL 2000»
14 years 9 months ago
PicSOM - content-based image retrieval with self-organizing maps
We have developed a novel system for content-based image retrieval in large, unannotated databases. The system is called PicSOM, and it is based on tree structured self-organizing...
Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkk...