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» Retrieving Objects Using Local Integral Invariants
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ICCV
2007
IEEE
14 years 11 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
PR
2008
188views more  PR 2008»
13 years 9 months ago
Detection and recognition of contour parts based on shape similarity
Due to distortion, noise, segmentation errors, overlap, and occlusion of objects in digital images, it is usually impossible to extract complete object contours or to segment the ...
Xiang Bai, Xingwei Yang, Longin Jan Latecki
MSS
2003
IEEE
130views Hardware» more  MSS 2003»
14 years 2 months ago
zFS - A Scalable Distributed File System Using Object Disks
zFS is a research project aimed at building a decentralized file system that distributes all aspects of file and storage management over a set of cooperating machines interconne...
Ohad Rodeh, Avi Teperman
CVIU
2010
429views more  CVIU 2010»
13 years 9 months ago
Cascade of descriptors to detect and track objects across any network of cameras
Most multi-camera systems assume a well structured environment to detect and track objects across cameras. Cameras need to be fixed and calibrated, or only objects within a traini...
Alexandre Alahi, Pierre Vandergheynst, Michel Bier...
PR
2006
119views more  PR 2006»
13 years 9 months ago
Performance evaluation and optimization for content-based image retrieval
Performance evaluation of content-based image retrieval (CBIR) systems is an important but still unsolved problem. The reason for its importance is that only performance evaluatio...
Julia Vogel, Bernt Schiele