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CVPR
2008
IEEE
14 years 9 months ago
Lost in quantization: Improving particular object retrieval in large scale image databases
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
SC
2003
ACM
14 years 25 days ago
Remote Visualization by Browsing Image Based Databases with Logistical Networking
The need to provide remote visualization of large datasets with adequate levels of quality and interactivity has become a major impediment to distributed collaboration in Computat...
Jin Ding, Jian Huang, Micah Beck, Shaotao Liu, Ter...
MM
2004
ACM
99views Multimedia» more  MM 2004»
14 years 1 months ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...
ICIP
2007
IEEE
14 years 1 months ago
Adaptive Cluster-Distance Bounding for Nearest Neighbor Search in Image Databases
We consider approaches for exact similarity search in a high dimensional space of correlated features representing image datasets, based on principles of clustering and vector qua...
Sharadh Ramaswamy, Kenneth Rose
CCIA
2009
Springer
13 years 8 months ago
Generic Object Recognition in Urban Image Databases
In this paper we propose the construction of a visual content layer which describes the visual appearance of geographic locations in a city. We captured, by means of a Mobile Mappi...
Xavier Baró, Sergio Escalera, Petia Radeva,...