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» A Probability Model for Image Annotation
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CVPR
2009
IEEE
16 years 9 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
CLEF
2007
Springer
15 years 8 months ago
Overview of the ImageCLEFmed 2007 Medical Retrieval and Medical Annotation Tasks
This paper describes the medical image retrieval and medical image annotation tasks of ImageCLEF 2007. Separate sections describe each of the two tasks, with the participation and ...
Henning Müller, Thomas Deselaers, Thomas Mart...
ICIP
2004
IEEE
16 years 3 months ago
Stochastic modeling of volume images with a 3-d hidden markov model
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
Jia Li, Dhiraj Joshi, James Ze Wang
CVPR
2009
IEEE
1599views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Multi-Label Sparse Coding for Automatic Image Annotation
In this paper, we present a multi-label sparse coding framework for feature extraction and classification within the context of automatic image annotation. First, each image is ...
Changhu Wang (University of Science and Technology...
126
Voted
IJDLS
2010
131views more  IJDLS 2010»
14 years 11 months ago
Annotating Historical Archives of Images
Recent initiatives like the Million Book Project and Google Print Library Project have already archived several million books in digital format, and within a few years a significa...
Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christi...