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54 articles for “Computer Vision”
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Facial Expression Recognition by Using Multifeatured Fusion And Deep Learning Techniques
Abstract: In our daily lives, sentiment analysis is a vital part of communication. A vital component is information regarding how the user feels when someone communicates. You will need a solution that can handle everything from recognizing a user's emotional state to personalizing the user experience. This study's objective is to look into emotions. Today, deep learning techniques are quickly advancing in a variety of fields, including computer vision. Without a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 16–22 Read article
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Using Image Feature Selection through Deep Salient Region Detection Using Canny Edge Detection Framework
Abstract: Salient object identification has received a lot of attention recently in computer vision because it offers quick solutions to several challenging procedures. It first identifies the scene's most prominent and attention-grabbing object, after which it segments the object's entire extent. The perception and processing of visual input is linked to visual saliency. This proposed work focuses on several convectional saliency detection methods that are useful in a variety of applications …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 8–21 Read article
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Convolution Neural Network Model to Classify Photo Gallery on an Android Device
Abstract: The classification of images is a classic topic in the domains of image processing, computer vision, and machine learning. Convolution Neural Networks, a sort of deep learning that falls under the Machine Learning sub-domain, have been used in this model. This model was inspired by the problem that students experience at the end of the academic year is that their phones become cluttered with photos from various sources. The aim …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 1, 2022 · pp. 9–17 Read article
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Towards Inclusive Communication: Reviewing CNN Models for Hindi Varnamala Sign Language Recognition
Abstract: Dealing with an individual who has hearing impairments is never easy. This research represents an effort (extension) to investigate the challenges associated with character categorization in Indian Sign Language (ISL).It is necessary for two people to know and comprehend the same language to create communication. However, sign language is necessary for communication for those who have hearing impairments. The gestures used by the deaf and dumb people are easy for …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 16–21 Read article
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Multi-Modal Summarization for Digital Data
Abstract: ABSTRACTText summarization aims to abbreviate input text into a compact form. Automatic data summarization is one of the field of data mining. The increase in expansion of data communication over the net makes it crucial to create Multi-Modal Summarization (MMS) from synchronous data (text, audio, image and video). The MMS method combining the techniques of Natural Language Processing (NLP), speech processing, computer vision, and Advanced Encryption Standard (AES) encryption used …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 28–34 Read article
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Diffusion based Low-Light Image Enhancement
Abstract: Sometimes the visual quality of images is affected by imperfect imaging conditions such as low-light,foggy weather, cloudy weather and night-time lighting. This poor quality of images affects the performances of many computer vision algorithms which are specially designed for high-qualityimages. In this paper, we are introducing a simple and effective method to enhance the low-light images based on the Retinex theory, in which the illumination-map is made to be region …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 29–34 Read article
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Knowing Captchas Using Deep Learning
Abstract: Websites can use CAPTCHA (Completely Automated Public Turing Test to Differentiate Computers from Humans) to distinguish between humans and machines and prevent automated attacks by programmers and malicious programmers. Studies on CAPTCHA recognition have the potential to uncover security flaws, advance CAPTCHA technology, and even advance handwriting and license plate recognition. However, the whole objective of the CAPTCHAs can be bypassed by utilizing the principles of deep learning and computer …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 30–40 Read article
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Design and Implementation of a Smart Surveillance and Automation System for Patients
Abstract: Patient negligence and harassment have become a common phenomenon now-a-days. To reduce this incident “Smart Surveillance and Automation system for patient” have been built. The system’s aim is to provide the patient security while maintain the patient’s privacy as well as provide an automated bed at a cheap price. This surveillance system starts recording once it detects a face and it also has a facial expression recognition system installed that …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 6, Issue 2, 2020 · pp. 9–17 Read article
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Study of Shape from Focus Algorithm
Abstract: Computer vision incorporates various three dimensional (3D) vision techniques which mainly aims at reconstructing a scene from a set of two dimensional (2D) images. Passive 3D vision techniques such as stereo vision require disparity between the images of the same scene taken from multiple views. Shape from focus (SFF) is a technique which recovers 3D geometry of the scene based on focus which is an accommodation cue. Multiple images of …
Published in International Journal of Computer Aided Manufacturing · Vol. 1, Issue 2, 2016 · pp. 13–20 Read article
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Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
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A Review on Image Processing, and Artificial Intelligence for Image Analysis
Abstract: ABSTRACTIn this paper we reviewed Image processing and artificial intelligence in which a method is performed some operations on an image in order to get an improved vision or to get some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Nowadays, image processing is among rapidly growing technologies which is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 39–43 Read article
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Analysis of Smoke Production and Movement in Shopping Malls/Centers
Abstract: Malls, like any other retailing centre, are vulnerable to a variety of hazards, including fire, which is a common occurrence in shopping malls. Fires at crowded malls can result in many fatalities as frantic people rush to escape the flames, as well as significant property damage. This computational study explores the possibility of smoke spread and evacuation from dangerous fires in large shopping centers. Large enclosed areas or voids are …
Published in International Journal of Town Planning and Management · Vol. 8, Issue 1, 2022 · pp. 1–23 Read article
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Amid COVID-19 Lockdown: Impact on School-going Children and Adolescents
Abstract: Introduction: The spread of coronavirus has led to strict lockdown due to which the enthusiasm and routine of individuals had affected to the maximum, leading to a new normal lifestyle. In India too, the government as a part of the nationwide lockdown has closed all schools and colleges, as a consequence of which, learners ranging from school-going children to postgraduate students, are affected. Objectives: To find out the beneficial and …
Published in International Journal of Pediatric Nursing · Vol. 7, Issue 1, 2021 · pp. 50–63 Read article
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Harnessing the Potential of Chat Generative Pre-trained Transformers for Enhanced Dialogue Systems
Abstract: Artificial intelligence (AI) and machine learning have changed the scientific research scene in the last few years. Among these, chatbot technology has advanced significantly in recent years, particularly with the emergence of ChatGPT as a prominent artificial intelligence language model. This in-depth analysis explores ChatGPT's history, uses, main obstacles, and potential future developments. We start by looking at its inception, advancement, and underlying technology. Then, we look at its many …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 7–11 Read article