To address this problem, we introduce a spatial weighting framework for BoV to encode spatial information inspired by Geometry-preserving Visual Phrases (GVP).
A novel image representation method which uses Gaussian mixture model (GMM) to provide spatial weighting for visual words and applies this method to ...
In this paper, we develop a novel image representation method which uses Gaussian mixture model (GMM) to provide spatial weighting for visual words and apply ...
A novel image representation method which is based firstly on constructing visual words based on a local patch extraction and a fusion of descriptors and ...
In this paper. we develop a novel image representation method which uses Gaussian mixture model (GMM) to provide spatial weighting for visual words and apply ...
Missing: Scale Practical
Inspired by the success of bag-of-words in text retrieval, bag-of-visual-words and its variants are widely used in content-based image retrieval to describe ...
This paper presents an extension to category classification with bag-of-features, which represents an image as an orderless distribution of features.
In this paper, we propose an improved BoW framework for RS image retrieval in large-scale image databases. The novelty of our approach is that we generate a ...
This paper proposes an unsupervised Content-Based Medical Image Retrieval (CBMIR) framework based on the spatial matching of the visual words.
The most popular approach to large scale image re- trieval is based on the bag-of-visual-word (BoV) represen- tation of images. The spatial information is ...