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Probabilistic Visual Concept Trees

Xie, Lexing; Yan, Rong; Tesic, Jelena; Natsev, Apostol; Smith, John R

Description

This paper presents probabilistic visual concept trees, a model for large visual semantic taxonomy structures and its use in visual concept detection. Organizing visual semantic knowledge systematically is one of the key challenges towards large-scale concept detection, and one that is complementary to optimizing visual classification for individual concepts. Semantic concepts have traditionally been treated as isolated nodes, a densely-connected web, or a tree. Our analysis shows that none of...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
URI: http://hdl.handle.net/1885/57709
Source: Proceedings ACM Multimedia 2010
DOI: 10.1145/1873951.1874099

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