Elimination of Spatial Incoherency in Bag-of-Visual Words Image Representation Using Visual Sentence Modelling
Abass A. Olaode, Golshah A. Naghdy · 2018
The Bag-of-Visual Word modelling of images has been recognised as an important step in the categorisation of images for Image retrieval due to its ability to support image semantic content detection. However, its application often leads to significant misclassifications due to its neglecting of the spatial locations of the visual words within the image space during the modelling process. This paper presents Visual sentences constructed via unsupervised Region of interest detection as a viable means of including the spatial locations of visual words in the Bag-of-Visual Word modelling, thereby eliminating the spatial incoherency often associated with the Bag-of-Visual Word Modelling.