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» Otolith Image Analysis by Computer Vision
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ICCV
2011
IEEE
13 years 10 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
CVPR
2012
IEEE
13 years 15 days ago
Leveraging category-level labels for instance-level image retrieval
In this article, we focus on the problem of large-scale instance-level image retrieval. For efficiency reasons, it is common to represent an image by a fixed-length descriptor w...
Albert Gordo, José A. Rodríguez-Serr...
CVPR
2005
IEEE
16 years 3 days ago
A Semi-Supervised Active Learning Framework for Image Retrieval
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
Steven C. H. Hoi, Michael R. Lyu
CVPR
2008
IEEE
16 years 3 days ago
Sensing increased image resolution using aperture masks
We present a technique to construct increased-resolution images from multiple photos taken without moving the camera or the sensor. Like other super-resolution techniques, we capt...
Ankit Mohan, Xiang Huang, Jack Tumblin, Ramesh Ras...
CVPR
2003
IEEE
16 years 3 days ago
Estimating the photorealism of images: Distinguishing paintings from photographs
Automatic classification of an image as a photograph of a real-scene or as a painting is potentially useful for image retrieval and website filtering applications. The main contri...
Florin Cutzu, Riad I. Hammoud, Alex Leykin