A robust arbitrary text detection system for natural scene images
Text detection in the real world images captured in unconstrained environment is an
important yet challenging computer vision problem due to a great variety of appearances …
important yet challenging computer vision problem due to a great variety of appearances …
Underground sewer pipe condition assessment based on convolutional neural networks
Surveys for assessing the condition of sewer pipeline systems are mainly based on video
surveillance or CCTV, which is a time-consuming process that relies heavily on human labor …
surveillance or CCTV, which is a time-consuming process that relies heavily on human labor …
Road network extraction: A neural-dynamic framework based on deep learning and a finite state machine
Extracting road networks from very-high-resolution (VHR) aerial and satellite imagery has
been a long-standing problem. In this article, a neural-dynamic tracking framework is …
been a long-standing problem. In this article, a neural-dynamic tracking framework is …
Writer identification and retrieval using a convolutional neural network
S Fiel, R Sablatnig - Computer Analysis of Images and Patterns: 16th …, 2015 - Springer
In this paper a novel method for writer identification and retrieval is presented. Writer
identification is the process of finding the author of a specific document by comparing it to …
identification is the process of finding the author of a specific document by comparing it to …
Big data analytics for video surveillance
BN Subudhi, DK Rout, A Ghosh - Multimedia Tools and Applications, 2019 - Springer
This article addresses the usage and scope of Big Data Analytics in video surveillance and
its potential application areas. The current age of technology provides the users, ample …
its potential application areas. The current age of technology provides the users, ample …
A survey on text information extraction from born-digital and scene text images
SP Faustina Joan, S Valli - Proceedings of the National Academy of …, 2019 - Springer
Text information extraction (TIE) from images is an open research area because of its
unsolved challenges with respect to the heterogeneity in image types, mode of image …
unsolved challenges with respect to the heterogeneity in image types, mode of image …
Doccreator: A new software for creating synthetic ground-truthed document images
Most digital libraries that provide user-friendly interfaces, enabling quick and intuitive access
to their resources, are based on Document Image Analysis and Recognition (DIAR) …
to their resources, are based on Document Image Analysis and Recognition (DIAR) …
Utilizing text recognition for the defects extraction in sewers CCTV inspection videos
This paper proposed a novel automated framework for analyzing and tracking sewer
inspection close-circuit television (CCTV) videos. The proposed model mainly supports the …
inspection close-circuit television (CCTV) videos. The proposed model mainly supports the …
Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units
In this study, a novel technique is proposed to recognize printed text in images for Urdu, a
low-resource language with a scarcity of benchmark datasets. The proposed technique is …
low-resource language with a scarcity of benchmark datasets. The proposed technique is …
No-reference image quality assessment based on statistics of local ternary pattern
PG Freitas, WYL Akamine… - 2016 Eighth International …, 2016 - ieeexplore.ieee.org
In this paper, we propose a new no-reference image quality assessment (NR-IQA) method
that uses a machine learning technique based on Local Ternary Pattern (LTP) descriptors …
that uses a machine learning technique based on Local Ternary Pattern (LTP) descriptors …