From universal bag-of-words to adaptive bag-of-phrases for mobile scene recognition

Tao Chen, Kim Hui Yap, Lap Pui Chau

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)

Abstract

This paper proposes an adaptive bag-of-phrases (BoP) algorithm for mobile scene recognition based on bag-of-words approach. Conventional BoW methods do not consider the dependence and pairwise relationship among different codewords. However, these contextual relations between pairwise codewords play an important role for users to recognize an image. In light of this problem, this paper proposes an effective BoP technique to integrate both the spatial and contextual information between visual words for scene recognition. It first uses hierarchical k-means algorithm to construct a universal codebook for all categories. The contextual (dependence) relationship between pairwise words is then mined for each category based on the mutual information they contain. Subsequently, a visual phrase vocabulary is constructed which is then used to generate a BoP histogram through a proposed quantization method. Finally, support vector machine (SVM) is used to train these histograms into a classifier. Experimental results on the Scene 15 dataset show that the proposed method is effective for mobile scene recognition.

Original languageEnglish
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Pages825-828
Number of pages4
DOIs
Publication statusPublished - Sep 2011
Externally publishedYes
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: 11 Sep 201114 Sep 2011

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2011 18th IEEE International Conference on Image Processing, ICIP 2011
Country/TerritoryBelgium
CityBrussels
Period11/09/1114/09/11

Keywords

  • bag-of-phrase (BoP)
  • bag-of-words (BoW)
  • mobile scene recognition
  • mutual information
  • SVM

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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