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» User Adaptive Clustering for Large Image Databases
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CVPR
2001
IEEE
16 years 3 months ago
Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
Guodong Guo, Anil K. Jain, Wei-Ying Ma, HongJiang ...
CIKM
2009
Springer
15 years 8 months ago
Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems
Social tagging systems have recently emerged as an effective way for users to annotate and organize large collections of resources on the Web. Moreover, they also facilitate an e...
Tom Chao Zhou, Irwin King
MM
2006
ACM
179views Multimedia» more  MM 2006»
15 years 7 months ago
ZooMICSS: a zoomable map image collection sensemaking system (the Katrina Rita context)
Access to devices that integrate Global Positioning data with image and sound acquisition becomes more common, enabling people to build large collections of locative multimedia. A...
Ross Graeber, Andruid Kerne, M. Kathryn Henderson
SAC
2008
ACM
15 years 1 months ago
A clustering-based approach for discovering interesting places in trajectories
Because of the large amount of trajectory data produced by mobile devices, there is an increasing need for mechanisms to extract knowledge from this data. Most existing works have...
Andrey Tietbohl Palma, Vania Bogorny, Bart Kuijper...
DAGSTUHL
2006
15 years 3 months ago
Efficient multi-step query processing for EMD-based similarity
Abstract. Similarity search in large multimedia databases requires efficient query processing based on suitable similarity models. Similarity models consist of a feature extraction...
Ira Assent, Thomas Seidl