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» Automated Content based Image Retrieval using Wavelets
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WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
14 years 4 months ago
GeoFolk: Latent spatial semantics in Web 2.0 social media
We describe an approach for multi-modal characterization of social media by combining text features (e.g. tags as a prominent example of short, unstructured text labels) with spat...
Sergej Sizov
ICPR
2004
IEEE
14 years 8 months ago
Image and Feature Co-Clustering
The visual appearance of an image is closely associated with its low-level features. Identifying the set of features that best characterizes the image is useful for tasks such as ...
Guoping Qiu
GIS
2009
ACM
13 years 11 months ago
Classification of raster maps for automatic feature extraction
Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
Yao-Yi Chiang, Craig A. Knoblock
IPPS
2006
IEEE
14 years 1 months ago
Acceleration of a content-based image-retrieval application on the RDISK cluster
Because of the growing use of multimedia content over Internet, Content-Based Image Retrieval (CBIR) has recently received a lot of interest. While accurate search techniques base...
Auguste Noumsi, Steven Derrien, Patrice Quinton
CIKM
2009
Springer
14 years 1 months ago
Event detection from flickr data through wavelet-based spatial analysis
Detecting events from web resources has attracted increasing research interests in recent years. Our focus in this paper is to detect events from photos on Flickr, an Internet ima...
Ling Chen, Abhishek Roy