Methodologies H.3.11. Vision and Scene Understanding
A bilingual text detection in natural images using heuristic and unsupervised learning

S. Bayatpour; M. Sharghi

Volume 10, Issue 4 , November 2022, Pages 449-466

  Digital images are being produced in a massive number every day. Acomponent that may exist in digital images is text. Textual information can beextracted and used in a variety of fields. Noise, blur, distortions, occlusion, fontvariation, alignments, and orientation, are among the main challenges for ...  Read More

Original/Review Paper
Whitened gradient descent, a new updating method for optimizers in deep neural networks

H. Gholamalinejad; H. Khosravi

Volume 10, Issue 4 , November 2022, Pages 467-477

  Optimizers are vital components of deep neural networks that perform weight updates. This paper introduces a new updating method for optimizers based on gradient descent, called whitened gradient descent (WGD). This method is easy to implement and can be used in every optimizer based on the gradient ...  Read More

Original/Review Paper
An Ensemble Convolutional Neural Networks for Detection of Growth Anomalies in Children with X-ray Images

H. Sarabi Sarvarani; F. Abdali-Mohammadi

Volume 10, Issue 4 , November 2022, Pages 479-492

  Bone age assessment is a method that is constantly used for investigating growth abnormalities, endocrine gland treatment, and pediatric syndromes. Since the advent of digital imaging, for several decades the bone age assessment has been performed by visually examining the ossification of the left hand, ...  Read More

Original/Review Paper
A UKF-based Approach for Indoor Camera Trajectory Estimation

Seyyed A. Hoseini; P. Kabiri

Volume 10, Issue 4 , November 2022, Pages 493-503

  When a camera moves in an unfamiliar environment, for many computer vision and robotic applications it is desirable to estimate camera position and orientation. Camera tracking is perhaps the most challenging part of Visual Simultaneous Localization and Mapping (Visual SLAM) and Augmented Reality problems. ...  Read More

Original/Review Paper
Benefiting from Structured Resources to Present a Computationally Efficient Word Embedding Method

F. Jafarinejad

Volume 10, Issue 4 , November 2022, Pages 505-514

  In recent years, new word embedding methods have clearly improved the accuracy of NLP tasks. A review of the progress of these methods shows that the complexity of these models and the number of their training parameters grows increasingly. Therefore, there is a need for methodological innovation for ...  Read More

Original/Review Paper
Cardiac Arrhythmia Diagnosis with an Intelligent Algorithm using Chaos Features of Electrocardiogram Signal and Compound Classifier

E. Zarei; N. Barimani; G. Nazari Golpayegani

Volume 10, Issue 4 , November 2022, Pages 515-527

  Cardiac Arrhythmias are known as one of the most dangerous cardiac diseases. Applying intelligent algorithms in this area, leads into the reduction of the ECG signal processing time by the physician as well as reducing the probable mistakes caused by fatigue of the specialist. The purpose of this study ...  Read More

Audio-visual emotion recognition based on a deep convolutional neural network

Kh. Aghajani

Volume 10, Issue 4 , November 2022, Pages 529-537

  Emotion recognition has several applications in various fields, including human-computer interactions. In recent years, various methods have been proposed to recognize emotion using facial or speech information. While the fusion of these two has been paid less attention in emotion recognition. In this ...  Read More

Original/Review Paper
Speech Emotion Recognition using Enriched Spectrogram and Deep Convolutional Neural Network Transfer Learning

B. Z. Mansouri; H.R. Ghaffary; A. Harimi

Volume 10, Issue 4 , November 2022, Pages 539-547

  Speech emotion recognition (SER) is a challenging field of research that has attracted attention during the last two decades. Feature extraction has been reported as the most challenging issue in SER systems. Deep neural networks could partially solve this problem in some other applications. In order ...  Read More

Original/Review Paper
Sports movements modification based on 2D joint position using YOLO to 3D skeletal model adaptation

A. Rahati; K. Rahbar

Volume 10, Issue 4 , November 2022, Pages 549-557

  Doing sports movements correctly is very important in ensuring body health. In this article, an attempt has been made to achieve the movements correction through the usage of a different approach based on the 2D position of the joints from the image in 3D space. A person performing in front of the camera ...  Read More

Technical Paper H.5. Image Processing and Computer Vision
A Novel Content-based Image Retrieval System using Fusing Color and Texture Features

S. Asadi Amiri; Z. Mohammadpoory; M. Nasrolahzadeh

Volume 10, Issue 4 , November 2022, Pages 559-568

  Content based image retrieval (CBIR) systems compare a query image with images in a dataset to find similar images to a query image. In this paper a novel and efficient CBIR system is proposed using color and texture features. The color features are represented by color moments and color histograms of ...  Read More

Original/Review Paper
Image Retrieval based on Multi-features using Fuzzy Set

M. Azimi hemat; F. Shamsezat Ezat; M. Kuchaki Rafsanjani

Volume 10, Issue 4 , November 2022, Pages 569-578

  In content-based image retrieval (CBIR), the visual features of the database images are extracted, and the visual features database is assessed to find the images closest to the query image. Increasing the efficiency and decreasing both the time and storage space of indexed images is the priority in ...  Read More

Research Note
Vehicle Type, Color and Speed Detection Implementation by Integrating VGG Neural Network and YOLO algorithm utilizing Raspberry Pi Hardware

Mojtaba Nasehi; Mohsen Ashourian; Hosein Emami

Volume 10, Issue 4 , November 2022, Pages 579-588

  Vehicle type recognition has been widely used in practical applications such as traffic control, unmanned vehicle control, road taxation, smuggling detection, and so on. In this paper, various techniques such as data augmentation and space filtering have been used to improve and enhance the data. Then, ...  Read More