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» A Probability Model for Image Annotation
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116
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MM
2005
ACM
209views Multimedia» more  MM 2005»
15 years 7 months ago
Learning an image-word embedding for image auto-annotation on the nonlinear latent space
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
Wei Liu, Xiaoou Tang
ICASSP
2011
IEEE
14 years 5 months ago
Joint dictionary learning and topic modeling for image clustering
A new Bayesian model is proposed, integrating dictionary learning and topic modeling into a unified framework. The model is applied to cluster multiple images, and a subset of th...
Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Cari...
SIGIR
2008
ACM
15 years 1 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
91
Voted
ECCV
2008
Springer
16 years 3 months ago
A New Baseline for Image Annotation
Automatically assigning keywords to images is of great interest as it allows one to index, retrieve, and understand large collections of image data. Many techniques have been propo...
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
ISBI
2008
IEEE
16 years 2 months ago
Automatic contour retrieval in annotated trus prostate images
The approach proposed in this paper retrieves contours from transrectal ultrasound (TRUS) prostate images. The input images are sparsely annotated by radiologists for the purpose ...
Geoffroy Rivet Sabourin, Alexandra Branzan Albu, D...