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A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.

Publication ,  Journal Article
Du, L; Ren, L; Dunson, DB; Carin, L
Published in: Advances in neural information processing systems
January 2009

A non-parametric Bayesian model is proposed for processing multiple images. The analysis employs image features and, when present, the words associated with accompanying annotations. The model clusters the images into classes, and each image is segmented into a set of objects, also allowing the opportunity to assign a word to each object (localized labeling). Each object is assumed to be represented as a heterogeneous mix of components, with this realized via mixture models linking image features to object types. The number of image classes, number of object types, and the characteristics of the object-feature mixture models are inferred nonparametrically. To constitute spatially contiguous objects, a new logistic stick-breaking process is developed. Inference is performed efficiently via variational Bayesian analysis, with example results presented on two image databases.

Duke Scholars

Published In

Advances in neural information processing systems

ISSN

1049-5258

Publication Date

January 2009

Volume

2009

Start / End Page

486 / 494

Related Subject Headings

  • 4611 Machine learning
  • 1702 Cognitive Sciences
  • 1701 Psychology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Du, L., Ren, L., Dunson, D. B., & Carin, L. (2009). A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation. Advances in Neural Information Processing Systems, 2009, 486–494.
Du, Lan, Lu Ren, David B. Dunson, and Lawrence Carin. “A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.Advances in Neural Information Processing Systems 2009 (January 2009): 486–94.
Du L, Ren L, Dunson DB, Carin L. A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation. Advances in neural information processing systems. 2009 Jan;2009:486–94.
Du, Lan, et al. “A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.Advances in Neural Information Processing Systems, vol. 2009, Jan. 2009, pp. 486–94.
Du L, Ren L, Dunson DB, Carin L. A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation. Advances in neural information processing systems. 2009 Jan;2009:486–494.

Published In

Advances in neural information processing systems

ISSN

1049-5258

Publication Date

January 2009

Volume

2009

Start / End Page

486 / 494

Related Subject Headings

  • 4611 Machine learning
  • 1702 Cognitive Sciences
  • 1701 Psychology