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» Ontology-Based Image Retrieval
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151
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CVIU
2004
115views more  CVIU 2004»
15 years 4 months ago
Context-dependent segmentation and matching in image databases
The content of an image can be summarized by a set of homogeneous regions in an appropriate feature space. When exact shape is not important, the regions can be represented by sim...
Hayit Greenspan, Guy Dvir, Yossi Rubner
154
Voted
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
16 years 2 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
CLOR
2006
15 years 8 months ago
Video Google: Efficient Visual Search of Videos
We describe an approach to object retrieval which searches for and localizes all the occurrences of an object in a video, given a query image of the object. The object is represent...
Josef Sivic, Andrew Zisserman
ICCV
2009
IEEE
16 years 9 months ago
Ground truth dataset and baseline evaluations for intrinsic image algorithms
The intrinsic image decomposition aims to retrieve “intrinsic” properties of an image, such as shading and reflectance. To make it possible to quantitatively compare differe...
Roger Grosse, Micah K. Johnson, Edward H. Adelson,...
128
Voted
ICPR
2004
IEEE
16 years 5 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