Graphics enhanced version of this site

Unsupervised Modeling and Recognition of Object Categories with Combination of Visual Contents and Geometric Similarity Links
G. Kim, C. Faloutsos, and M. Hebert
ACM International Conference on Multimedia Information Retrieval (ACM MIR), ACM, October, 2008.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference

Adobe portable document format (pdf) [1054 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

This paper proposes a probabilistic approach for unsupervised modeling and recognition of object categories which combines two types of complementary visual evidence, visual contents and inter-connected links between the images. By doing so, our approach not only increases modeling and recognition performance but also provides possible solutions to several problems including modeling of geometric information, computational complexity, and the inherent ambiguity of visual words. Our approach can be incorporated in any generative models, but here we consider two popular models, pLSA and LDA. Experimental results show that the topic models updated by adding link analysis terms significantly improve the standard pLSA and LDA models. Furthermore, we presented competitive performances on unsupervised modeling, ranking of training images, classification of unseen images, and localization tasks with MSRC and PASCAL2005 datasets.

Associated center: VASC

Number of pages: 8

G. Kim, C. Faloutsos, and M. Hebert, "Unsupervised Modeling and Recognition of Object Categories with Combination of Visual Contents and Geometric Similarity Links," ACM International Conference on Multimedia Information Retrieval (ACM MIR), ACM, October, 2008.

@inproceedings{Kim_2008_6113,
   author = "Gunhee Kim and Christos Faloutsos and Martial Hebert",
   title = "Unsupervised Modeling and Recognition of Object Categories with Combination of Visual Contents and Geometric Similarity Links",
   booktitle = "ACM International Conference on Multimedia Information Retrieval (ACM MIR)",
   month = "October",
   year = "2008",
   publisher = "ACM"
}