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» Mixture model based contextual image retrieval
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NIPS
2008
15 years 12 days ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
SIGMOD
2010
ACM
204views Database» more  SIGMOD 2010»
14 years 8 months ago
Multi-dimensional keyword-based image annotation and search
Effective keyword search on image databases is a major open problem, due to the inherent imprecision of keywords (tags) used to describe images' content. In this paper we pre...
Ilaria Bartolini, Paolo Ciaccia
CVPR
2007
IEEE
16 years 1 months ago
Object retrieval with large vocabularies and fast spatial matching
In this paper, we present a large-scale object retrieval system. The user supplies a query object by selecting a region of a query image, and the system returns a ranked list of i...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
TIFS
2010
307views more  TIFS 2010»
14 years 9 months ago
Face matching and retrieval using soft biometrics
—Soft biometric traits embedded in a face (e.g., gender and facial marks) are ancillary information and are not fully distinctive by themselves in face-recognition tasks. However...
Unsang Park, Anil K. Jain
ICIP
2003
IEEE
16 years 17 days ago
Top-down control of visual attention in object detection
Current computational models of visual attention focus on bottom-up information and ignore scene context. However, studies in visual cognition show that humans use context to faci...
Aude Oliva, Antonio B. Torralba, Monica S. Castelh...