Show Summary Details

Page of

PRINTED FROM OXFORD HANDBOOKS ONLINE (www.oxfordhandbooks.com). © Oxford University Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a title in Oxford Handbooks Online for personal use (for details see Privacy Policy and Legal Notice).

date: 17 January 2020

Abstract and Keywords

A hierarchical and compositional representation is an essential requirement for an image model effectively to represent many instances with huge complexity arising from varying geometric configurations and appearance types. In this chapter, we introduce a model, hierarchical tiling by And-Or Tree, which capitalizes on hierarchical region decomposition and region tiling to generate an exponential number of configurations with a small dictionary. We also describe an iterative learning algorithm automatically to learn the parts and their structures in a weakly supervised fashion. The proposed model and approach has been applied to two important image domains: natural scene categories and human figures. We present various experimental results to demonstrate advantages of our model in both cases.

Keywords: And-Or Tree, hierarchical spatial tiling, scene and object parsing, weakly supervised learning

Access to the complete content on Oxford Handbooks Online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can''t find the answer there, please contact us.