Ranking-based vocabulary pruning in bag-of-features for image retrieval

Fan Zhang, Yang Song, Weidong Cai, Alexander G. Hauptmann, Sidong Liu, Siqi Liu, David Dagan Feng, Mei Chen

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

5 Citations (Scopus)

Abstract

Content-based image retrieval (CBIR) has been applied to a variety of medical applications, e.g., pathology research and clinical decision support, and bag-of-features (BOF) model is one of the most widely used techniques. In this study, we address the problem of vocabulary pruning to reduce the influence from the redundant and noisy visual words. The conditional probability of each word upon the hidden topics extracted using probabilistic Latent Semantic Analysis (pLSA) is firstly calculated. A ranking method is then proposed to compute the significance of the words based on the relationship between the words and topics. Experiments on the publicly available Early Lung Cancer Action Program (ELCAP) database show that the method can reduce the number of words required while improving the retrieval performance. The proposed method is applicable to general image retrieval since it is independent of the problem domain.

Original languageEnglish
Title of host publicationArtificial Life and Computational Intelligence
Subtitle of host publicationFirst Australasian Conference, ACALCI 2015, Proceedings
EditorsStephan K. Chalup, Alan D. Blair, Marcus Randall
Place of PublicationCham
PublisherSpringer-VDI-Verlag GmbH & Co. KG
Pages436-445
Number of pages10
ISBN (Electronic)9783319148038
ISBN (Print)9783319148021
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event1st Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2015 - Newcastle, Australia
Duration: 5 Feb 20157 Feb 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8955
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2015
CountryAustralia
CityNewcastle
Period5/02/157/02/15

Keywords

  • Bag-of-features model
  • Image retrieval
  • Vocabulary pruning

Fingerprint Dive into the research topics of 'Ranking-based vocabulary pruning in bag-of-features for image retrieval'. Together they form a unique fingerprint.

Cite this