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50 articles for “Image search”
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Ranking of Image Search by Click-Based Uniformity and Typicality
Abstract: AbstractAccording to the image search re-ranking, apart from the semantic gap and intent gap, which is the gap between the representation of user’s query and the real objective of the users, is forming a major issue in restricting the evolution of image retrieval. In order to reduce human effects, the method use image click-through data, which can be viewed as the implicative feedback from users, to help overcome the intention …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 39–46 Read article
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Spectrum of Special Search Engines on the Web
Abstract: Many individuals now rely on search engines as a regular part of their daily routines. Almost everyone starts their search for information on the Internet there. It is a search tool for information on the Internet. No matter whether we need comprehensive information or are looking for the nearest supermarket, nothing works without search engines. They show us the way through the impenetrable jungle of the Internet. Some search engines …
Published in Current Trends in Information Technology · Vol. 13, Issue 3, 2023 · pp. 20–31 Read article
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Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning
Abstract: Primary brain tumor detection and classification are critical factors in ensuring effective treatment and, ultimately, improving patient well-being. This paper describes a novel method for detecting and classifying brain tumors with the help of magnetic resonance imaging (MRI) and computed tomography (CT) images. The suggested method combines harmony search optimization (HSO) and Convolution Neural Networks (CNN) based on deep learning techniques, yielding an impressive accuracy rate of 99.13% for both …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 31–49 Read article
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Multiclass Content-based Visual Information Retrieval using Multi Layer Perceptron and Convolution Neural Network: A Comparative Study
Abstract: Content-based visual information extraction is an area, which utilizes the computer vision methods for searching and indexing the images in image library more competently than manual annotations. Due to the exponentially increase in image database volume, there is a demand of efficient retrieval system. Deep learning-based machine vision systems have the ability to handle large amount of data efficiently than ordinary machine vision systems. This paper proposed a content-based image …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 1–9 Read article
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Image Segmentation based on Region Merging using Breadth-First Search
Abstract: This paper proposed a new method for image segmentation based on region merging using breadth-first search (BFS). The image can be partitioned into multiple segments so that meaningful information is extracted out and then image is analyzed easily. In the proposed method, first the oversegmented image is obtained by applying a standard watershed transformation on original image. Then BFS is executed on the oversegmented image to obtain a segmented image. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 20–25 Read article
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Different Image Processing Techniques to Detect Text from Natural Images: A Survey
Abstract: Texture analysis can provide very useful and vital information for content-based image analysis. Text recognition and analysis includes many applications such as: license plate recognition, sign detection as well translation, helping tourists and blind persons to understanding environment, drawing attention of a driver, content-based image search and so on. Locating text in case of variation in style, colour, as well as complex image background makes text reading from images more …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 1–5 Read article
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The Rise of AI in E-Commerce: Transforming Shopping Experiences
Abstract: The field of e-commerce is transforming due to the integration of artificial intelligence, offering businesses fresh possibilities to enhance customer experiences, streamline operations, and foster expansion. This article explores the transformative impact of artificial intelligence (AI) on various aspects of e-commerce, including personalized shopping experiences, intelligent chatbots and virtual assistants, predictive analytics for inventory management, dynamic pricing strategies, visual search and image recognition, fraud detection, and security measures, augmented reality …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 22–26 Read article
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Image Retrieval by Matching Sketches and Images
Abstract: The proposed system provides a unique scheme for Content based image retrieval (CBIR) using sketches. CBIR is the application of computer vision to the image retrieval problemis the problem of searching for digital images in the large database. Content based means; the search will analyze the contents of the images. The term ‘content’ may referto colors, shapes, textures or any other information that can be derived from the image itself. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 1, 2014 · pp. 18–22 Read article
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Fractal Geometry and Its Application to Image Compression
Abstract: This paper presents the concept of fractal and its geometry with the explanation of how natural objects require different geometry rather than traditional Euclidean geometry and also discusses mathematics of fractals with the simulation results of generated fractal and applications of the fractal geometry in image compression. Image compression using fractal has a major drawback of large encoding time and several algorithms have been developed to reduce the encoding time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 4–12 Read article
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Semantic Annotation of Images with Text and Sound for Visually Impaired
Abstract: Accessing appropriate information is the biggest challenge for human and specifically for visually impaired people, and when the information to be accessed is multimedia, it poses a big problem. There is a need of annotating (labelling) the images with text and sound to make it easier for visually impaired people to understand what the image is about. In addition to the ease of understanding, semantic annotation of images can make …
Published in Journal of Open Source Developments · Vol. 5, Issue 1, 2018 · pp. 20–27 Read article
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Automatic Image Description Generation Using Deep Learning Techniques
Abstract: Automatic Image Description Generation methods are extremely useful for image retrieval, search and organization. Previous approaches either use the existing labelled dataset to compose sentences or compose a new description for the test image by exploiting available descriptions of the training images. In practice these methods have limited accuracy, hence if the most important objects in an image cannot be identified, then they cannot generate valid description. Another difficulty lies …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 28–37 Read article
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A Novel Approach to Reduce Image Retrieval Problem Using Gabor Transform, Wavelet Transform and Euclidean Distance Measure
Abstract: In the processing of image, pattern recognition and computer vision, the image retrieval is a most famous research area. Our paper presents a new method in CBIR through merging the low level feature i.e. texture, color and shape features. At first, we transform the color space from RGB model to HSV model, and then extract color histogram to form color feature vector. CBIR is the process where search of image …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 1, 2016 · pp. 10–15 Read article
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Specific Search Engine Optimization
Abstract: Search Engine Optimization (SEO) is the technique to improve website traffic by increasing the discoverability of websites. Generally, it takes in efforts to improve natural outputs and keep out the online advertising. The sites mostly visited or searched are at top rankings. SEO can perform various searches such as image, video, news or industry specific searches. As a point of view to web marketing, SEO considers how the search algorithm …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 2, 2020 · pp. 13–17 Read article
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A Brief Review on Content Based Image Retrieval with Its Techniques
Abstract: In today’s time the growth in digitization of images, diagrams, paintings and explosion of World Wide Web (www), has made classical keyword based on search for an image—an ineffective technique for the retrieval of required image documents. Content-based image retrieval (CBIR) is used to efficiently retrieve required images from fairly large databases. The main problem is to extract the image features that effectively represent image content in a database. In …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 1–8 Read article
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Personalized Web Search Over Encrypted Databases
Abstract: This paper involves the study of every user as the internet having an interest on his personalized personal search. To personal search the web content data on encrypted data bases and performing related data, collection data tasks while preserving data confidentiality is a desirable capability when a database is stored on a server maintained by a third-party service provider. This paper addresses the problem of enabling personalized web content-based collection …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 2, 2014 · pp. 1–8 Read article
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Innovative Applications of AI and Machine Learning in Voice-Driven Systems: Friday AI 2.0
Abstract: The development of artificial intelligence (AI) has enabled the development of increasingly sophisticated models that can understand and react to human questions. This study introduces Friday AI-2.0, a cutting-edge AI model that improves user engagement by using natural language processing (NLP) and voice synthesis technologies to produce text-based and audio-based responses. By increasing engagement through an intuitive and engaging interface, Friday AI-2.0 seeks to improve the user experience. By describing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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K-NN Classification and Thresholding by Fuzzy If-Then Rules using Texture and Shape Feature
Abstract: In present scenario image retrieval is the basic requirement, because of different types of images features are added in database from different sources are available for image retrieval. In Content Based Image Retrieval ‘content based’ means that the search will analyze the actual contents of the image. In this paper texture and shape features are extracted and classifications of images are done with K-Nearest Neighbour. The Fuzzy concept If-Then rules …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 2, 2015 · pp. 1–11 Read article
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Galaxies in Absorption: A Study of Galactic Chemical Evolution Models
Abstract: Deciphering how our Cosmos unfolded from the uncharted 'dark ages' to the present condition governed by vast systems has become one of the most interesting searches of the human imagination. Over the last few decades, with the aid of empirical surveys and computational simulations, we have made considerable strides towards a coherent image of galaxy forming and evolution. However, we have yet to achieve a good understanding of numerous important …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 9, Issue 3, 2020 · pp. 14–19 Read article
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Park Information System for Kolkata: A Low Cost Web Enabled Solution
Abstract: Green parks in urban environment play an important role in promoting public health, art, culture, tourism and economy. City dwellers require information about the parks to get the benefit of green spaces. Web GIS technology has a potential to maintain inventory and disseminate spatial and aspatial information over the Internet. Open source software enables cost effective and feature rich implementation, operation and maintenance of Web GIS application. In this study …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 35–39 Read article
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Advancements in Handwriting Recognition: A Deep Learning Approach
Abstract: This article provides detailed information about handwriting text recognition. Some human characteristics are unique to the individual. Writing is one of the scientifically proven habits that is different for everyone. Handwriting Text Recognition (HTR) is responsible for identifying written characters and converting them into digital text. HTR is an intensively researched area, but improvements can still be made in accuracy and efficiency. Digitization of manuscripts is very useful in today's …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article