Skip navigation
Skip navigation

Data Modeling Strategies for Imbalanced Learning in Visual Search

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

Description

In this paper we examine a novel approach to the difficult problem of querying video databases using visual topics with few examples. Typically with visual topics, the examples are not sufficiently diverse to create a robust model of the user's need. As a result, direct modeling using the provided topic examples as training data is inadequate. Otherwise, systems resort to multiple content-based searches using each example in turn, which typically provides poor results. We propose a new...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Conference paper
URI: http://hdl.handle.net/1885/57960
Source: Proceedings IEEE International Conference on Multimedia Communications & Computing (ICME 07)

Download

File Description SizeFormat Image
01_Tesic_Data_Modeling_Strategies_for_2007.pdf264.53 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  23 August 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator