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20 articles for “scene detection”
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Oculight: AI Based System for Visual Assistance to Blind and Visually Impaired People
Abstract: This research introduces a new captioning model that utilizes both image and caption models to produce textual descriptions of images. By combining a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network (RNN), this deep learning architecture offers a promising solution for improving the quality of life and independence of blind people through AIbased systems. The system's implementation on an Android device ensures that it is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 22–29 Read article
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A Review on Various Shadow Detection and Removal Techniques for Image Enhancement
Abstract: AbstractShadow is a dark area created when light from a light source is blocked by an opaque object. The presence of shadow has been responsible for reducing the reliability of many computer vision applications including segmentation, object detection, scene analysis etc. Shadows degrade the quality of image and it may affect information provided by the image. Therefore, shadow detection and removal is an important pre-processing to restore the information of …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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NeuroSight: AI-Powered Vision Enhancement for the Visually Impaired
Abstract: Visual impairment has long been a significant challenge, affecting a person’s ability to move independently, understand their surroundings, and perform everyday activities safely. Although considerable progress has been made in the development of assistive technologies, many existing solutions still face practical limitations. These include inconsistent performance in real-world environments, high power consumption, dependence on external computing resources, and limited ability to adapt to dynamic and rapidly changing surroundings. To address …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 25–33 Read article
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A Robust and Real Time Approach for Scene Text Localization and Recognition in Image Processing
Abstract: The text localization and recognition in real-time scene text images is still a big issue in current applications. Mobile application and digitization in real world gives a vital and broad impact on real-time scene text images. However, the efficiency of recognition rate depends upon the text localization, i.e., higher the purity of text background segmentation and decomposition, higher the rate of accuracy for the image recognition. In this paper is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 2, Issue 3, 2015 · pp. 16–22 Read article
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Text Recognition and Detection of Handwritten Reports Through Image Processing
Abstract: Nowadays, the biggest problem we are facing is text detection from the scene images, handwritten documents, and various other images at different resolutions. To overcome such problems, we are using artificial intelligence tools and techniques which make use of neural networks to detect the text from the images. In this work, we proposed new solutions to this problem by introducing Artificial Neural Network Techniques which have proven best for text …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 3, 2022 · pp. 1–6 Read article
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Text Extraction from Images Using Connected Component Method
Abstract: Text information from image serves as an important clue for many image based applications. it has been used in many different applications such as; document analysis, vehicle licence plate extraction, content based information indexing, To name a few, the detection and extraction of text regions in images is a well-known problem in computer vision and image processing. However, variation of these texts due to differences in size, orientation style, and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 2, 2014 · pp. 13–18 Read article
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An approach to detect and remove shadows from images
Abstract: The shadows are caused as a result of the robust illumination variation in a picture are determined because it causes numerous issues in computer vision algorithms. Tracking, Scene analysis and visual perception are all samples of the issues thus for this purpose there's a requirement for shadow detection and removal from pictures. The detection of shadows is completed using the lab color space. Shadow region is detected by computing the …
Published in Journal of Open Source Developments · Vol. 5, Issue 1, 2018 · pp. 7–11 Read article
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A Detailed Survey on Crime Detecting and Clustering Technique in Data Mining
Abstract: AbstractData mining is the extraction of useful information or the knowledge from the set of data or it’s the process analyzing the data from the various perspectives and summarizing into information which is useful. Detection of crime begins with discovery of crime scene, and proceeds from side to side the process of evidence collected works, identification and the analysis. It is called as an act that is being committed or …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 19–26 Read article
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Spatiotemporal Analysis of Noida, Greater Noida and Surrounding Areas (India) Using Remote Sensing and GIS Approaches
Abstract: Spatiotemporal analysis refers to an analysis having both spatial extension and temporal duration. Remote sensing has provided a great tool to quantify changes using satellite data in our area of interest. Population of Indian cities is growing rapidly. That is why human need for shelter is also growing day by day, resulting in fast urbanization. This study uses remote sensing and GIS approaches to delineate the urban growth resulting in …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 3, 2012 · pp. 42–51 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Providing Captions to the Detected Images: Deep Neural Networks and LSTM
Abstract: Automatically generating captions for images seems to be very interesting but at the same time the task is quite challenging as training a machine with proper comprehension of the image, it’s background, detecting the objects present in it and finally generating the captions is only the frontline projection; The difficult part happens behind the scenes: selecting the dataset, training the model, validating the model, developing pre-trained models to test the …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 3, 2021 Read article
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Learning-based Edge Detection for Video Sequences
Abstract: The advancing fields in video technology like that of 3D TV and Free Viewpoint Video essentially requires more information to transmit in addition with the 2D color maps. This information is the depth maps of the accompanying scenes from the videos sequences in order to facilitate rendering of arbitrary viewpoints within it. Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging fields with …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 1–19 Read article
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Background Suppression for Visual Surveillance Using SOM
Abstract: AbstractBackground suppression is widely used approach for detection of moving objects in video streams which is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient. An approach based on self-organization …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 1, 2015 · pp. 15–20 Read article
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Image Super Resolution Using Back-Projection based on Canny Edge Detection and Gabor Filter Prior
Abstract: In recent years, due to the advancement of mixed media instrumentation and machine gadgets, single-image super resolution has currently been converted into a thought subject. Super-resolution is the procedure of improving a high-resolution image from varied low-resolution pictures of a similar scene. The key goal of super-resolution imaging is to reproduce a higher-resolution image focused around a group of pictures, procured from a similar scene and indicated as “low-resolution” pictures, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 48–56 Read article
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Semantic Segmentation Using Fully Convolutional Network for An Autonomous Vehicle
Abstract: Numerous individuals inside the profound learning and PC vision networks comprehend what picture arrangement is. We would like to inform about our model that, what single object or scene is present within the image. Semantic segmentation is the most informative segmentation, where we wish to classify each and every pixel within the image. Deep networks have proved to be encoded with highlevel feature like semantic means which can deliver superior …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 21–27 Read article
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Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
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A Review: Digital Image Processing
Abstract: Image Processing consists of converting the nature of a photograph with a view to improve its pictorial records for human interpretation, for independent system notion. virtual picture processing is a subset of the electronic area in which the image is transformed to an array of small integers, referred to as pixels, representing a bodily amount inclusive of scene radiance, saved in a virtual reminiscence, and processed by using pc or …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 12–16 Read article
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Theoretic Study of Image Registration Techniques:A Survey
Abstract: Image registration is the methodology of adjusting two or more images of the same scene taken from different viewpoints, at different times, and from different sensors. Image registration adjusts two picturesgeometrically, i.e., sense picture and target picture. There are diverse methodologies of image registration and these methodologies are arranged as indicated by their tendency that is area based and feature based. These methodologies are likewise ordered as per the four …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 3, 2014 · pp. 15–20 Read article
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AI-Based Criminal Identification System A Breakthrough Approach
Abstract: Identifying and locating a perpetrator is a time-consuming and difficult process. The perpetrators are growing more skilled, leaving no biological evidence or fingerprint impressions at the crime scene. Using cutting-edge face recognition technology is a quick and easy solution. Through the use of linear programming, this research presents an innovative approach to classifying all face tracks collectively. In addition to the following, it incorporates: a novel method for extracting more …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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A Novel Approach to Ceiling Fan-Based System for Preventing Suicide by Hanging
Abstract: Suicide by hanging has become a significant public health issue in India. According to reports from the National Crime Records Bureau (NCRB), a considerable number of hanging cases are reported annually, with the majority being suicidal in nature. Homicidal cases disguised as hanging are extremely rare. Accurate differentiation between suicidal and homicidal hanging requires thorough examination of the crime scene in an undisturbed condition, followed by a detailed autopsy investigation. …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article