Context-based adaptive filtering of interest points in image retrieval

Phuong Giang Nguyen, Hans Jørgen Andersen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2 Citationer (Scopus)

Abstract

Interest points have been used as local features with success in many computer vision applications such as image/video retrieval and object recognition. However, a major issue when using this approach is a large number of interest points detected from each image and created a dense feature space. This influences the processing speed in any runtime application. Selecting the most important features to reduce the size of the feature space will solve this problem. Thereby this raises a question of what makes a feature more important than the others? In this paper, we present a new technique to choose a subset of features. Our approach differs from others in a fact that selected feature is based on the context of the given image. Our experimental results show a significant reduction rate of features while preserving the retrieval performance.
OriginalsprogEngelsk
TitelProceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
Antal sider5
ForlagIEEE Computer Society Press
Publikationsdato2009
Sider529-534
ISBN (Trykt)9780769538723
StatusUdgivet - 2009
BegivenhedIEEE proceeding of the International Conference on Intelligent Systems Design and Applications - Pisa, Italien
Varighed: 30 nov. 20092 dec. 2009
Konferencens nummer: 9

Konference

KonferenceIEEE proceeding of the International Conference on Intelligent Systems Design and Applications
Nummer9
Land/OmrådeItalien
ByPisa
Periode30/11/200902/12/2009

Fingeraftryk

Dyk ned i forskningsemnerne om 'Context-based adaptive filtering of interest points in image retrieval'. Sammen danner de et unikt fingeraftryk.

Citationsformater