Improving Bag of Visual Words Image Retrieval: A Fuzzy Weighing Scheme for Efficient Indexation

With experiments on French broadcast news videos, we show that (a) the proposed NBOW2 model learns meaningful word importance weights, (b) the NBOW2 model, like the NBOW

With experiments on standard topic and sentiment classification tasks, we show that (a) our proposed model learns mean- ingful word importance for a given task (b) our model gives

The introduced approach is evaluated for automatic diagnosis of normal and abnormal color retinal images with bright lesions such as drusen and exudates.. This approach has

The encoding we propose it follows a soft-approach taking into account the radius of the covering region corresponding to each visual word obtained during the generation of the

We also demonstrated the application of histogram decomposition for improving the classification performance on multiple object and PASCAL VOC 2007 datasets using an

In this context, the Spatial Pyramid Representation (SPR) [3] is probably the most notable work. Its principle relies on the division of an image into sub-windows and the computation

Our CBIR system is based on geometrical multiscale images decomposition (the Curvelets) embedded in the different stages of the architecture.. The figure 2 presents

The standard steps for deriving the signature for a facial expression image using BoVW are represented in figure 1 (a), (1): keypoints localization from the image, (2):