Minimalist plotting for Python, inspired by Edward Tufte’s principles of data visualization. Maximising the data–ink ratio: remove non-essential lines, marks, and colours. Content-driven spines and ...
No matter what type(s) of photography you like to pursue, mastering exposure is key to creating successful images. While it can be tempting to use your camera's screen to judge exposure, that display ...
ABSTRACT: One exciting area within computer vision is classifying human activities, which has diverse applications like medical informatics, human-computer interaction, surveillance, and task ...
Histograms are a powerful way to visualize the distribution of numerical data. By representing data in bar form, they allow for easy interpretation of frequencies and patterns within a dataset. In ...
Abstract: This paper introduces a high efficient local spatiotemporal descriptor, called gradient boundary histograms (GBH). The proposed GBH descriptor is built on simple spatio-temporal gradients, ...
Abstract: This paper presents a novel framework for image retrieval. In image feature extraction stage, we propose the gradient histogram Markov stationary features to represent the input image which ...
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