French vital records data gathering and analysis through image processing and machine learning algorithms [PDF]
Vital records are rich of meaningful historical data concerning city as well as countryside inhabitants that can be used, among others, to study former populations and then reveal the social, economic and demographic characteristics of those populations.
Cyprien Plateau-Holleville +3 more
doaj +1 more source
A Review of the Use of Thermal Imaging and Computer Vision for Pattern Recognition
The use of thermal imaging and computer vision has seen a sharp increase in recent years. This paper presents the current state of the art concerning these fields.
Kaoutar Clero +10 more
semanticscholar +1 more source
Cursive Arabic Handwriting Recognition System Without Explicit Segmentation Based on Hidden Markov Models [PDF]
In this paper we present a system for offline recognition cursive Arabic handwritten text which is analytical without explicit segmentation based on Hidden Markov Models (HMMs).
Mouhcine Rabi +2 more
doaj +1 more source
Computer Vision and Pattern Recognition 2020
This special issue covers a wide range of topics from the area of Computer Vision, Pattern ...
Zeynep Akata +2 more
semanticscholar +1 more source
uxSense: Supporting User Experience Analysis with Visualization and Computer Vision [PDF]
Analyzing user behavior from usability evaluation can be a challenging and time-consuming task, especially as the number of participants and the scale and complexity of the evaluation grows.
A. Batch +4 more
semanticscholar +1 more source
: Sarong is a traditional cloth typically worn during formal or religious events which conventionally woven using the traditional loom. Samarinda is one of Indonesia’s regions with a sarong with a distinctive pattern.
A. Septiarini +4 more
semanticscholar +1 more source
Computer Vision based Food Recognition with Nutrition Analysis
Computer vision based food recognition is a technology application Overall computer vision based food nutrition analysis i That uses machine learning algorithms to identify an classify different types of food in digital images or videos.
D. B B
semanticscholar +1 more source
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network [PDF]
Recently, several models based on deep neural networks have achieved great success in terms of both reconstruction accuracy and computational performance for single image super-resolution. In these methods, the low resolution (LR) input image is upscaled
Aitken, AP +7 more
core +3 more sources
A deep learning-based algorithm for crop Disease identification positioning using computer vision
Food security is fundamental to a country. As the main risk factors, pests and diseases seriously restrict the normal growth of crops and the quality and safety of agricultural products.
Guoqing Cai +4 more
semanticscholar +1 more source
Language Models for Image Captioning: The Quirks and What Works [PDF]
Two recent approaches have achieved state-of-the-art results in image captioning. The first uses a pipelined process where a set of candidate words is generated by a convolutional neural network (CNN) trained on images, and then a maximum entropy (ME ...
Cheng, Hao +7 more
core +1 more source

