Elimination of Spatial Incoherency in Bag-of-Visual Words Image Representation Using Visual Sentence Modelling

被引：0
|
作者：
Olaode, Abass A. [1 ]
Naghdy, Golshah [1 ]
机构：
[1] Univ Wollongong, Sch Elect Comp Telecommun Engn, Wollongong, NSW, Australia
来源：
2018 INTERNATIONAL CONFERENCE ON IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ) | 2018年
关键词：
Bag-of-Visual Words; Region of Interest; Unsupervised image classification; Visual Phrase; Visual Sentence; Visual Codebook;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页数：6
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