Bag of Visual Words: A Soft Clustering Based Exposition

Author

Garg, Vinay ; Vempati, Sreekanth ; Jawahar, C.V.

Author_Institution

Center for Visual Inf. Technol., Int. Inst. of Inf. Technol., Hyderabad, India

fYear

2011

fDate

15-17 Dec. 2011

Firstpage

37

Lastpage

40

Abstract

In this paper, we explain the bag of words representation from a soft computing perspective. The traditional Bag of word representation describes an image as a bag of discrete visual code words. Where histogram of the number of occurrences of these code words is used for image classification tasks. The drawback of the approach is that every visual feature in an image is assigned to single codeword, which leads to the loss of information regarding the other relevant code words that can represent the same feature. In this paper, we show how fuzzy and possibilistic codeword assignment improves the classification performance on Scene-15-dataset.

Keywords

fuzzy logic; fuzzy set theory; image classification; image coding; pattern clustering; Scene-15-dataset; bag of visual word; discrete visual codeword; fuzzy codeword assignment; image classification; information loss; possibilistic codeword assignment; soft clustering based exposition; soft computing; Equations; Histograms; Mathematical model; Probabilistic logic; Semantics; Visualization; Vocabulary; codewords; fuzzy assignments; image classification; possibilistic assignments;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2011 Third National Conference on

Conference_Location

Hubli, Karnataka

Print_ISBN

978-1-4577-2102-1

Type

conf

DOI

10.1109/NCVPRIPG.2011.15

Filename

6132995