Title :
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
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;
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
DOI :
10.1109/NCVPRIPG.2011.15
