Sciweavers

480 search results - page 26 / 96
» User Adaptive Clustering for Large Image Databases
Sort
View
123
Voted
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
15 years 3 months ago
Visually Mining through Cluster Hierarchies
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
CG
2010
Springer
15 years 1 months ago
An evaluation of descriptors for large-scale image retrieval from sketched feature lines
We address the problem of fast, large scale sketch-based image retrieval, searching in a database of over one million images. We show that current retrieval methods do not scale w...
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur,...
RIAO
2007
15 years 3 months ago
Similarity Beyond Distance Measurement
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and mos...
Feng Kang, Rong Jin, Steven C. H. Hoi
JIIS
2002
130views more  JIIS 2002»
15 years 1 months ago
Image Mining: Trends and Developments
Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful informa...
Wynne Hsu, Mong-Li Lee, Ji Zhang
166
Voted
ICASSP
2011
IEEE
14 years 5 months ago
Sparsity-based defect pixel compensation for arbitrary camera raw images
In high quality imaging even tiny distortions as small as a single pixel are visible and can not be accepted. Although the production quality of CMOS image sensors is very high, f...
Michael Schöberl, Jürgen Seiler, Bernhar...