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An adaptive technique for content-based image retrieval

Jana Urban, Joemon M. Jose, Cornelis J. van Rijsbergen
2006 Multimedia tools and applications  
We discuss an adaptive approach towards Content-Based Image Retrieval.  ...  Our approach is an adaptation of the original Ostensive Model based on textual features only, to include content-based features to characterise images.  ...  To this end, it incorporates an adaptive image retrieval technique based on the Ostensive Model (OM) of developing information needs [3] .  ... 
doi:10.1007/s11042-006-0035-1 fatcat:ulwvkxvbprbftouaptvo57d7si

Feature-Based Adaptive Tolerance Tree (FATT): An Efficient Indexing Technique for Content-Based Image Retrieval Using Wavelet Transform [article]

Dr. P. AnandhaKumar, V. Balamurugan
2010 arXiv   pre-print
support popular image access mechanisms like Content Based Image Retrieval (CBIR).Conventional database systems are designed for managing textual and numerical data and retrieving such data is often based  ...  This paper addresses such problems and presents a novel indexing technique, Feature Based Adaptive Tolerance Tree (FATT), which is designed to bring an effective solution especially for indexing large  ...  Content-based image retrieval (CBIR) approach has emerged as a promising alternative.  ... 
arXiv:1004.1229v1 fatcat:c6elgnitrbd5tm3vl557qlxfrm

Toward Fine-grained Image Retrieval with Adaptive Deep Learning for Cultural Heritage Image

Sathit Prasomphan
2023 Computer systems science and engineering  
This study proposes a cultural heritage content retrieval method using adaptive deep learning for fine-grained image retrieval.  ...  In this step, the original class is not necessary for re-training which we call an adaptive deep learning technique.  ...  Another technique for image retrieval uses the color, shape, and texture of an image for a query inside an image database. We refer to the features of an image as image characteristics.  ... 
doi:10.32604/csse.2023.025293 fatcat:ggtexahsv5fr5ax2cpz2hnsa6u

Analysis of Adaptive Image Retrieval by Transition Kalman Filter Approach based on Intensity Parameter

Dhaya R
2021 Journal of Innovative Image Processing  
In this research article, the adaptive function kalman filter function performs for image retrieval to get better accuracy and high reliable compared to previous existing method includes Content Based  ...  The image content extraction is containing many parameters to reconstruct the image again for access the information.  ...  Initially, performed with filtering technique for content based image retrieval based on modified estimation parameter of state space model.  ... 
doi:10.36548/jiip.2021.1.002 fatcat:2xdrttweyvfcjaoxem6ubgym2y

Image Similarity Learning through Rankboost Mechanism Based On Keywords and Content Queries

Veena Sharanya .M
2013 IOSR Journal of Computer Engineering  
They are query keyword based model and content based image retrieval models. Text query strings are used in the textual image retrieval model.  ...  In this paper, we propose an image indexing and retrieval using speech annotations based on a predefined structured syntax.  ...  The technology for content-based image retrieval is still in its infancy. IV. Keyword And Content Queries For Retrieval A novel Internet based image search approach [1] .  ... 
doi:10.9790/0661-0854751 fatcat:2xvuovpnyjdsrlampjyacebxsy

Enhancement of Color Image Retrieval using Adaptive Texture Descriptor

Disha Sugha, Honeyily Saklani, Vinay Thakur
2019 International Journal of Computer Applications  
In this paper, technique for content-based image retrieval includes texture of data image which is used to calculate energy, contrast and time elapsed of an image using adaptive texture descriptor method  ...  Nowadays, the latest technique used for image retrieval is content based image retrieval. In digital image processing CBIR is rapidly growing field.  ...  Content based image retrieval methods are used to retrieve an effective and an appropriate image from database.  ... 
doi:10.5120/ijca2019919188 fatcat:efv464i2nndx5lm7zoger45jwa

Distributing Sensitive Information in the MPEG-21 Multimedia Framework [chapter]

Nicholas Paul Sheppard
2010 The Handbook of MPEG Applications  
and Retrieval 224 9.2.3 Image Clustering and Retrieval Systems Based on MPEG-7 225 9.2.4 Evaluation of MPEG-7 Features 227 9.3 Multimodal Vector Representation of an Image Using MPEG-7 Color  ...  , Andrea Basso, and Behzad Shahraray 14.1 Background on Content-Based Indexing and Retrieval 343 14.2 350 14.6.1 Temporal Decompositions 350 14.6.2 Temporal Decompositions for Video Shots 350  ... 
doi:10.1002/9780470974582.ch18 fatcat:pb5emi26kjefjch2ed6mx7i2nm

Integrated Multiple Features for Tumor Image Retrieval Using Classifier and Feedback Methods

B. Jyothi, Y. MadhaveeLatha, P.G. Krishna Mohan, V.S.K. Reddy
2016 Procedia Computer Science  
The content based image retrieval method greatly assists in retrieving medical images close to the query image from a large database basing on their visual features.  ...  The performance of the retrieval system is enhanced by adapting the subjective feedback method.  ...  Thus CBMIR System will be an effective tool in assisting CAD System. Fig. 1 . 1 Content Based Medical Image Retrieval System. brain image.  ... 
doi:10.1016/j.procs.2016.05.200 fatcat:undmwo56unhhblasyogun4nbmi

Content Based Medical Image Retrieval Using Fuzzy Gaussian Mixture Model with Relevance Feedback

G.Asha Sowjanya
2016 International Journal Of Engineering And Computer Science  
Content Based Medical image retrieval can assist physicians in binding information supporting their diagnosis.  ...  This technique users to retrieve a similar query images from a database.  ...  Introduction Content Based Image Retrieval uses the visually content of an image such as color, shape, texture, and spatial layout to represent an index of an image.  ... 
doi:10.18535/ijecs/v4i10.37 fatcat:lwyupgroqvdffc22scvxwqm37u

Content-Based Image Retrieval by Query Adaptive Search using Hash Codes

Aarthi E, Kaviya S, Keerthika D, Kirithika B
2017 IJARCCE  
This can be achieved by first off offline learning bitwise weights of the hash codes for a various set of predefined linguistics thought categories.  ...  Visual similarity has been a lively topic of analysis in Scalable image search.  ...  The noticed contents of an image such as shape, colour and texture are availed in content Based Image Retrieval (CBIR).  ... 
doi:10.17148/ijarcce.2017.6342 fatcat:7f36fh4drfe5tcoar6pj4dmvbu

Promising Large Scale Image Retrieval by Using Intelligent Semantic Binary Code Generation Technique

Anuja khodaskar, Siddarth Ladhake
2015 Procedia Computer Science  
A scalable content based image retrieval system for large-scale www database is designed and implemented.  ...  Million images on internet is big challenge for accurate and efficient image retrieval as per user requirement.  ...  Textbased image retrieval techniques use text to describe the content of the image and content based image retrieval used image visual features to describe the content of images.  ... 
doi:10.1016/j.procs.2015.04.183 fatcat:qq54n37jkjacdjm7w7tncaprju

An Intelligence System for Detection of Cancer and Diagnosis

Abhishek Kumar Gupta, Kulvinder Singh Mann
2014 IOSR Journal of Computer Engineering  
In this paper we describe a novel framework for performing content-based image retrieval using Back Propagation Neural Network.  ...  Recently the CBIR reduced the semantic gap between the low visual features and high level image semantics.  ...  A technique that effectively uses most of the information from image is backbone of an efficient content-based image retrieval system for medical database.  ... 
doi:10.9790/0661-16450109 fatcat:pvygftcvyvfo3hzi2zreksp2ky

Enhancing Adaptive Content Based Face Image Retrieval in Database

M Manimegalai, K Sankar
2014 International Journal of Computer Trends and Technology  
Given a query face image, content-based face image retrieval tries to find similar face images from a large image database.Large-scale content-based face image retrieval is an enabling technology for many  ...  In this method, to utilize automatically detected human attributes that contain semantic cues of the face photos to improve content based face retrieval by constructing semantic codeword's for efficient  ...  INTRODUCTION Content-based image retrieval is a technique which uses the visual contents of an image such as colour, shape, texture, and spatial layout to represent and index the image.  ... 
doi:10.14445/22312803/ijctt-v10p102 fatcat:lob7vu5mjngbhlnpzczj3c7vgm

Content Based Image Retrieval

Showkat Dar
2013 IOSR Journal of Computer Engineering  
Research in content-based image retrieval (CBIR) in the past has been focused on image processing, low-level feature extraction.  ...  With the passing years, many advanced technologies have come into existence for efficientimage retrieval.  ...  Therefore, the technique introduced for reducing the semantic gap is named as "Relevance feedback based Adaptive Clustering for Content Based Image Retrieval V.  ... 
doi:10.9790/0661-1228792 fatcat:jycyepgvnfcn5cxz3iwfhsansu

An Adaptive Histogram Values & Texture Descriptor for Data Analysis

2016 International Journal of Science and Research (IJSR)  
There are three methods used for image retrieval: such as Content based image retrieval, Text based image retrieval system and Semantic based image retrieval.  ...  In content based image retrieval system, images are stored by visual content, such as Texture, Shape, Layout and Color.  ...  The content material based photo Retrieval system (CBIR) is a gadget, which retrieves the snap shots from an photo collection wherein the retrieval is based on a query, which is precise through content  ... 
doi:10.21275/v5i6.nov164646 fatcat:lrhicnn5vvgfhjmgii5wzd463i
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