ENGINEERING RESEARCH PAPERS

image retrieval research papers 2015 IEEE PAPER




Holistic Correlation of Color Models, Color Features and Distance Metrics on Content-BasedImage Retrieval
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Abstract-An important problem in computer vision is to choose features for image retrieval. To address this problem, we have conducted several experiments, considering combinations of features. The experiment involves the application of various color models

Combination of Local, Global and K-Mean using Wavelet Transform for Content Base Image Retrieval
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Abstract In today's time, the requirement of content based image retrieval technique is more and more because of diverse areas such as Data Mining, Remote Sensing and Management of Earth Resources,, Crime Prevention, Weather forecasting, E-commerce,

A New Content Based Image Retrieval Model Based on Wavelet Transform
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Abstract Searching interested images based on visual properties of images is a challenging problem and it has received considerable attention from researchers in the fields like image processing, computer vision and multimedia systems in the last 20 years. While the

A Comparative Study on Feature Extraction using Texture and Shape for Content BasedImage Retrieval
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Abstract Image Retrieval is the basic requirement of today's life in present scenario. Because of huge amount of different types of images are added in database from different sources for retrieval of the image, different kinds of processing is required to extract the relevant

Div150Cred: A social image retrieval result diversification with user tagging credibility dataset
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ABSTRACT In this paper we introduce a new dataset and its evaluation tools, Div150Cred, that was designed to support shared evaluation of diversification techniques in different areas of social media photo retrieval and related areas. The dataset comes with

Design and Implementation of Content Based Image Retrieval Using Data Mining and ImageProcessing Techniques
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Abstract: Now a days people are interested in using digital images. There is a great need for developing an efficient technique for finding the images. In order to find an image, image has to be represented with certain features. Color, texture and size are three important

Novel Image Retrieval Approach in Similarity Integrated Network Using Combined Ranking Algorithm
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Abstract: In image rich websites like flickr, Photobucket retrieving images in such a large network is very useful but also very tedious process. It also consumes more time and the retrieved contents are not exactly relevant always. In this paper, three algorithms have

Fusion Model for Ontology Based Image Retrieval
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Abstract Data fusion is the process of combining multiple sources of information to produce better results compared to using the source individually. This paper applies the idea of data fusion to semantic image retrieval, which combines the ranking scores between ontology

Secure Visual Content Labelling for Personalized Image Retrieval
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Abstract:Automatic image/video labeling and indexing is an enthusiastic research area where visual contents are described using low-and high-level features such as shape, color, texture, and visual saliency. Researchers have proposed different techniques for

Feature Based Image Retrieval System using DWT and SVD
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Abstract: Image retrieval scheme attains interest in the digital image processing domain from past years due to its optimized applications. Although tremendous progress has been made in the conventional works on image retreival still accuracy is area of concern in retrieving

Efficient Content Based Image Retrieval System with Metadata Processing
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Abstract The content based image retrieval (CBIR) is one of the most popular, rising research areas of the digital image processing. Most of the available image search tools, such as Google Images and Yahoo! Image search, are based on textual annotation of

Improvised Tag Ranker for Tag Based Image Retrieval (TBIR)
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Abstract: Many social image search engines are based on keyword/tag matching. This is because tag-based image retrieval (TBIR) is not only efficient but also effective. The performance of TBIR is highly dependent on the availability and quality of manual tags.

Image Retrieval Process Based on Relevance Feedback and Ontology Using Decision Tree
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Abstract In this paper, another strategy for immediate features based image recovery is proposed. Image database is developed with low level texture features got from Gray Level Co-Occurrence Matrix (GLCM) and measurable techniques for Tamura. Semantic level

Content-Based Image Retrieval Improved by Incorporating Semantic Annotation via Query Expansion
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Abstract Automatic image annotation (AIA) is expected to be a promising way to improve the performance of content-based image retrieval (CBIR). However, current image annotation results are always incomplete and noisy, and far from practical usage. In this paper, we

FAemb: a function approximation-based embedding method for image retrieval
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The objective of this paper is to design an embed- ding method mapping local features describing image (eg SIFT) to a higher dimensional representation used for image retrieval problem. By investigating the relationship between the linear approximation of a nonlinear function in

An Efficient Content Based Image Retrieval System for Color and Shape Using Optimized K-Means Algorithm
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Abstract This paper deals with the Content Based Image Retrieval CBIR system which is the challenging research platform in the digital image processing. The important theme of using CBIR is to extract visual content of an image automatically, like color, texture, or shape.

A Comparative Study of Content Based Image Retrieval Trends and Approaches
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Abstract Content Based Image Retrieval (CBIR) is an important step in addressing image storage and management problems. Latest image technology improvements along with the Internet growth have led to a huge amount of digital multimedia during the recent decades

Visual Feature Based Image Retrieval Using Color and Texture
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ABSTRACT The purpose of this paper is to describe the research and solution to the problem of designing Visual Feature Based Image Retrieval system. Due to the enormous increase in image database sizes, as well as its vast deployment in various applications,

Online learning to rank for content-based image retrieval
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Abstract A major challenge in Content-Based Image Retrieval (CBIR) is to bridge the semantic gap between low-level image contents and high-level semantic concepts. Although researchers have investigated a variety of retrieval techniques using different

An Efficient Approach to Content Based Image Retrieval
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Abstract: Content-based image retrieval (CBIR) is image retrieval approach which allows the user to extract an image from a large database depending upon a user specific query. An efficient and effective image retrieval performance is achieved by choosing the best

Content Based Image Retrieval using SVM, NN and KNN Classification
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Abstract: The CBIR tends to index and retrieve images based on their visual content. CBIR avoid many evils connected with conservative ways of retrieve images by keywords. Thus, a rising interest in the area of CBIR has been known in current years. The arrangement of a

Neural Codes for Image Retrieval
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Abstract This seminar report focuses on using convolutional neural networks for image retrieval. Firstly, we give a thorough discussion of several state-of-the-art techniques in image retrieval by considering the associated subproblems: image description, descriptor

COLOR IMAGE RETRIEVAL BASED ON FEATURE FUSION THROUGH MULTIPLE LINEAR REGRESSION ANALYSIS.
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Abstract This paper proposes a novel technique based on feature fusion using multiple linear regression analysis, and the least-square estimation method is employed to estimate the parameters. The given input query image is segmented into various regions according

Observations on Using Type-2 Fuzzy Logic for Reducing Semantic Gap in Content–BasedImage Retrieval System
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Abstract:Semantic–based image retrieval has been one of the most challenging problems in recent years. Although so many solutions are provided for filling the so-called gap between the content based image retrieval (CBIR) and what human beings expect from

FOURIER TRANSFORM BASED SALIENCY DETECTION FOR SKETCH BASED IMAGE RETRIEVAL SYSTEMS
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ABSTRACT Visual Saliency is the perceptual quality that makes an object or pixel region stand out relative to its neighbors and thus capture viewer attention. Thus Saliency models indicate the region of interest. This paper aims at improving the performance of sketch

An Efficient System for Medical Image Retrieval using Generalized Gamma Distribution
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Abstract:Efficient diagnosis plays a crucial role for treatment. In many cases of criticalness, radiologists, doctors prefer to the usage of internet technologies in order to search for similar cases. Accordingly in this paper an effective mechanism of Content Based Image

Shape Based Image Representation and Retrieval
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Abstract:mong all the issues related to Content Based Image Retrieval systems, retrieving images based on their shapes is an important one. Many approaches exist utilizing shape representation and comparison, eg, the methods based on Fourier descriptors. In this

Fine-grained histopathological image analysis via robust segmentation and large-scaleretrieval
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Abstract Computer-aided diagnosis of medical images requires thorough analysis of image details. For example, examining all cells enables fine-grained categorization of histopathological images. Traditional computational methods may have efficiency issues

Content Based Image Retrieval: Survey and Comparison of CBIR System Based on Combined Features
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Abstract In image processing, computer vision and pattern recognition, the Image retrieval is a most popular research area. In this paper, performance of various CBIR systems, based on combined feature ie, color texture and shape, are compared. Keywords: CBIR, HSV Color

AN EFFICIENT CONTENT BASED IMAGE RETRIEVAL SYSTEM USING SOFT COMPUTING TECHNIQUE
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Abstract:As the use of searching digital images has increased a lot in recent years, so a system is required which search images from large database on the bases of query image and return results in form of images which matched with query image. The present paper

Content Based Image Retrieval of Corel Images Along With Face Recognition
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Abstract:: Image Retrieval basically deals with identification of similar images from a large database. Image retrieval based on rich content of the image is known as Content Based Image Retrieval (CBIR). The visual content of an image is analysed in terms of different

Dual Transition Uniform Lbp Matrix for Efficient Image Retrieval
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Abstract:Texture image retrieval plays a significant and important role in these days, especially in the era of bigdata. The big-data is mainly represented by unstructured data like images, videos and messages etc. Efficient methods of image retrieval that reduces the

Deep Learning of Binary Hash Codes for Fast Image Retrieval
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Abstract Approximate nearest neighbor search is an efficient strategy for large-scale image retrieval. Encouraged by the recent advances in convolutional neural networks (CNNs), we propose an effective deep learning framework to generate binary hash codes for fast

Image Retrieval Using Data Mining and Image Processing Techniques
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Abstract: In the domain of Image processing, Image mining is advancement in the field of data mining. Image mining is the extraction of hidden data, association of image data and additional pattern which are quite not clearly visible in image. It's an interrelated field that

An Efficient Content Based Image Retrieval using Advanced Filter Approaches
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Abstract: In general the users are in need to retrieve images from a collection of database images from variety of domains. In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a bottleneck that the

Text and Image Retrieval via Saliency Feature and Visual Attention
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Abstract: In the real world applications such as copy protection, fake image detection, landmark search, partial duplicate image retrieval is very needful to any user. Regular users of the internet regularly upload images, photograph which are partially duplicate on the

EC520 FINAL PROJECT REPORT: EXAMPLE-BASED IMAGE RETRIEVAL
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The goal of this project was to develop an example-based image retrieval system, which sorts through a large database of images by using image characteristics rather than previously added metadata. Given a query image, the system returns images from the

IMAGE RETRIEVAL BY INFORMATION FUSION OF MULTIMEDIA RESOURCES
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Abstract-Internet based image search using text queries has received considerable attention. However, current state of image retrieval approach require training models for every new query, and are therefore unsuitable for real-world web search applications.

Automatic Image Annotation and Retrieval Using Contextual Information
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Abstract-With the advent of time, the number of images being captured and shared online has grown exponentially. The images which are captured are later accessed for the purpose of searching, classification and retrieval operation. Hence these images must be labeled

TOWARDS EFFICIENT METHODS FOR WORD IMAGE RETRIEVAL
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Abstract The economic feasibility of maintaining large number of documents in digital image formats has created a tremendous demand for robust ways to access and manipulate the information these images contain. This requires research in the area of document image

A New Content Based Image Retrieval System by HOG of Wavelet Sub Bands.
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Abstract The term content-based image retrieval to describe his experiments into automatic retrieval of images from a database by color and shape feature. The term has since been widely used to describe the process of retrieving desired images from a large collection on

Grading Image Retrieval Based on DCT and DWT Compressed Domains Using Low-Level Features
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Abstract:Nowadays, the majority of images are in JPEG and MPEG compressed formats, and JPEG2000 is considered to be the next generation of compression standard due to the high performance of discrete wavelet transform (DWT). It is time consuming and occupies

Investigation of Modified Fuzzy C-Means Clustering with Content Based Retrieval ImageTechnique for Medical Diagnosis
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Abstract: In medical images, Content-based image retrieval (CBIR) is a primary technique for computer-aided diagnosis. Many research works were developed in content based medical image retrieval, but the techniques have the drawback of low efficiency and high

A Hybrid Approach for content based image retrieval from large Dataset
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ABSTRACT Image processing is one of the methods to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. The volume of digital images generated and uploaded on the

REVIEW PAPER ON CONTENT BASED IMAGE RETRIEVAL FOR DIGITAL IMAGES
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Abstract:-Image retrieval is a very important area of digital image processing. Image can be retrieved from a large database on the basis of text, color, structure or content. Content- based image retrieval uses the visual contents of an image such as texture, color, shape,

Performance Enhancement of Content Based Medical Image Retrieval for MRI Brain Images Based on Hybrid Approach
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Abstract:Content Based Image Retrieval (CBIR) systems retrieve images from the database which are similar to the query image. Instead of text based searching, CBIR efficiently retrieves images that are visually similar to query image. CBIR plays a major

Image Classification and Retrieval are ONE
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ABSTRACT In this paper, we demonstrate that the essentials of image classification and retrieval are the same, since both tasks could be tackled by measuring the similarity between images. To this end, we propose ONE Online Nearest-neighbor Estimation, a

Cross-Media Retrieval using Probabilistic Model of Automatic Image Annotation.
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Abstract In recent years, automatic image annotation (AIA) has been applied to cross-media retrieval usually due to its advantage of mining correlations of images and annotation texts efficiently. However, some AIA methods just annotate images as a unit and the accuracy of

IMAGE RETRIEVAL BY USING DIGITAL IMAGE PROCESSING AND GA
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ABSTRACT In recent years, with the development of digital image techniques and digital albums in the Internet, the use of digital image retrieval process has increased dramatically. An image retrieval system is a computer system for browsing, searching and retrieving

Multi Disease Analysis System Using Content Based Image Retrieval
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ABSTRACT Content based image retrieval is a mainstay of image retrieval systems. This technique is incorporated in the analysis of disease identification in the medical field. Incorporating content based image retrieval with the medical field in the identification of

CONTENT BASED IMAGE RETRIEVAL A REVIEW
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Abstract:-Content Based Image Retrieval (CBIR) is an application of computer vision to the problem of image retrieval. The term Content might refer to the features such as color, texture, shape etc. Almost all of the CBIR systems utilize query by example wherein the

Color and Edge Directive Descriptor Feature Extraction Technique for Content Based Image Retrieval System
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Abstract: The development of multimedia technology in Content Based Image Retrieval (CBIR) System is one of the prominent area to retrieve the images from a large collection of database. It is practically observed that any one algorithm is not efficient in extracting all

Medical Image Retrieval Using Fuzzy Connectedness Image Segmentation and Geometric Moments
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Communications in Medicine) format is the most commonly used format. Various medical imaging sources generate images in this format, which are collected in large database repository [1]. Various modalities of medical images such as CT scan, X-Ray, Ultrasound,

A Review on Scalable Face Image Retrieval based on Attributes Enhanced Sparse Code Words
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Abstract: Due to the exponential growth of the social media like facebook, flicker etc. photos of people became one of the highly interested area. Dealing with human faces are more challenging because most of the human faces are similar in the low level appearance. Abstract Advanced image retrieval technology has been widely adopted in many industries and areas. This technology is also adopted in higher education by some educators and researchers in recent years. With the introduction of mobile technology, it has been

REVIEW on CONTENT BASED INFORMATION RETRIEVAL for DIGITAL LIBRARY USING TEXT DOCUMENT IMAGE
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Abstract:In The recent year, the uses of mobile devices has witnessed an emerging need to improve the user experience of digital library browsing and search, with various applications such as education, augmented reality, location search and product retrieval,

Similar and Class Based Image Retrieval Using Hash Code
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Abstract Image retrieval based on visual similarity has become an active research in recent years. For each and every image we create hash code by extracting the features of the image, here search is performed based on hamming distance. Unlike Euclidean metrics

Improving the Performance of Content Based Image Retrieval System using Relevance Feedback
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Abstract-The performance of the CBIR system can be improved by reducing the semantic gap between visual features and human semantics. Relevance Feedback (RF) approach refines the retrieval process with users feedback on Content based image retrieval (CBIR)

Research on Image Retrieval Technology Based on Fast Wavelet Transform.
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Abstract In present research, the image feature based on adaptive wavelet has been widely used in the content-based image retrieval field. However, there is a common problem in these methods, which is to describe different query images with the same wavelet basis. In

Content based Image Retrieval based on Histogram
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ABSTRACT Content based image retrieval (CBIR) systems analyze the visual content and find images in the database. this paper has been propose a novel approach to CBIR system based on prime's histogram of the color image. This paper describe a project that

Medical image retrieval based on 3D lesion content
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Abstract Content-based image retrieval is an emerging technology which could provide decision support to radiologists. This paper describes a system for content-based image retrieval based on 3D features extracted from liver lesions in abdominal computed

Hybrid Method to Obtain Interest Region and Non Interest Region for Color Based Image Retrieval.
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Abstract Content based image retrieval (CBIR) has become one of the most active research areas in the past few years. Many indexing techniques are based on global feature distributions. However, these global distributions have limited discriminating power

Diversity in Image Retrieval using Randomization and Learned Metrics
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Abstract Providing useful information to user requested queries is the most investigated problem in the multimedia retrieval community. The problem of information retrieval usually has many possible solutions, due to uncertainities in the user's information need and

A Content-based Image Retrieval System Based On Convex Hull Geometry
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Abstract: Developments in data storage technologies and image acquisition methods have led to the assemblage of large data banks. Management of these large chunks of data in an efficient manner is a challenge. Content-based Image Retrieval (CBIR) has emerged as a

Learning with Information Entropy Method for Transportation Image Retrieval
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Abstract As a new learning framework, Multi-Instance learning is labeled recently and has successfully found application in vision classification. A novel Multi-instance bag generating method is presented in this paper on basis of Gaussian Mixed Model. The generated

CONTENT BASED IMAGE RETRIEVAL (CBIR) USING ADAPTIVE GROUND TRUTH COMPOSITION
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Abstract-In recent years, with the development of digital image techniques and digital albums in the Internet, the use of digital image retrieval process has increased dramatically. An image retrieval system is a computer system for browsing, searching and retrieving

Multimodal-based Diversified Summarization in Social Image Retrieval
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ABSTRACT In this paper, we describe our approach and its results for the MediaEval 2015 Retrieving Diverse Social Images task. The main strength of the proposed approach is its flexibility that permits to filter out irrelevant images, and to obtain a reliable set of diverse

Affine Invariant Compact Centroid Distance Shape Descriptor for Image Retrieval
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Abstract Simple and fast feature extraction methods are in need today for Content Based Image Retrieval (CBIR) and object recognition applications. The work presented in this paper is contour based one dimensional shape feature extraction technique for closed

Efficient Image Retrieval Based on Fuzzy Color Feature Extraction
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Abstract: Image retrieval is an emerging research area for multimedia database. It is the basic requirement task in the present scenario. Retrieval of images based on visual features such as color, texture and shape have proven to have its own set of limitations under

Image Retrieval using the Improved Double Density Contourlet Transform
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Abstract: A new image retrieval algorithm based on the improved double density contourlet transform (DDCT) is proposed in this paper. The improved double density contourlet transform have the property of shift invariance and non-Gaussian for the high frequency

Large-Scale Image Retrieval with Bag-of-Words and k-NN Re-Ranking
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Abstract Image retrieval methods have been significantly developed in the last decade. The BOW (Bag-of-words) model lacks spatial information. Some methods stem from BOW approach which is recently extended to a vector aggregation model. Most of them are

A MEDICAL IMAGE RETRIEVAL SYSTEM USING HYBRID FOCS FRAMEWORK
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Abstract-The proposed system uses a hybrid approach for the retrieval of medical diseases from MRI images is introduced. The main objective of this work is to retrieve the brain images from huge volume of medical image database with high accuracy by performing

CONTENT BASED IMAGE RETRIEVAL FOR MOBILE SYSTEMS.
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ABSTRACT This paper proposes, a hybrid approach employing texture and colour feature is investigated. A modified approach for performing texture based feature extraction by gray level co-occurrence matrix and colour based feature extraction by colour cooccurrence

Content Based Image Retrieval using Haar Wavelet to Extracted Color Histogram and Texture Features
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Abstract The Content Based Image Retrieval has been an active research area. Given a collection of images, it is to retrieve the images based on a query image, which is specified by content. In this paper, wavelet transform has been used, which is proved to be a very

Image Retrieval based on VA-File and Multi-Resolution BOW
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Abstract: By the virtue of BOF to describe high-dimensional data, in this article, we propose an effective retrieval strategy employing multi-resolution BOF to accelerate the match. The main idea is to improve the overall retrieval efficiency of BOF Descriptive Vector via the

An Efficient Technique For Content Based Image Retrieval Using Haar Wavelet Transform
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Abstract Content based image retrieval system also known as Query by image content. It is an image search technique to retrieve relevant images based on their content. There are various applications of the CBIR technique such as crime prevention, image searching,

Content Based Image Retrieval: A Review
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Abstract:In field of image processing and analysis Content based image retrieval is a very important problem as there is rapid growth in storing and capturing multimedia data with digital devices. Although extensive studies, conducted and image finding is desired from

CONTENT-BASED IMAGE RETRIEVAL FOR ASSET MANAGEMENT BASED ON WEIGHTED FEATURE AND K-MEANS CLUSTERING
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ABSTRACT Assets have different shapes, colors and textures. A shape feature is the main characteristic, which distinguishes each type of asset in addition to the other features, ie the color and the texture. The value of features in the image-based asset information retrieval

AN EFFECTIVE APPROACH OF IMAGE RETRIEVAL USING SCALABLE IMAGE ENCRYPTION.
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ABSTRACT The encryption has a comprehensive scheme for providing confidentiality of security such as privacy, reliability and authentication of information. This paper proposes a unique scheme of scalable coding of transmitting and receiving images in an extreme

IMAGE RETRIEVAL FOR VISUALLY IMPAIRED PERSON
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ABSTRACT: Bag-of-visual Words(BoWs) representation has been applied for various problems in the field of multimedia and computer vision. In this paper, descriptive visual words (DVWs) and descriptive visual phrases (DVPs) are proposed as the visual

Biased Maximum Margin Analysis for Content based Interactive Image Retrieval
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ABSTRACT Content based image retrieval from large resources has become an area of wide interest now a days in many applications. A variety of relevance feedback (RF) schemes have been developed as a powerful tool to bridge the semantic gap between

Content Based Image Retrieval using Color Edge Detection and Discrete Wavelet Transform
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Abstract: The retreival of relevant images based on the content information is always attracts the researchers attention from decades. The conventional algorithms use the META data where the search of images is done by characters. Although CBIR is most efficient

Image Retrieval Using Mean Shift Clustering
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Abstract-Content-based image retrieval (CBIR) is a widely used technique for retrieving images from large database. But there are many issues with this method regarding its performance. So there is scope to improve the processing. In recent years, different

An Image Retrieval Method Using Homogeneous Region and Relevance Feedback
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Abstract:Relevance feedback and region based image retrieval are two effective ways to improve accuracy in content-based image retrieval. In this paper, we propose a content- based image retrieval method using relevance feedback and homogeneous region. By

AN INTELLIGENT CONTENT BASED IMAGE RETRIEVAL SYSTEM FOR MAMMOGRAM IMAGEANALYSIS
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Abstract An automated segmentation method which dynamically selects the parenchymal region of interest (ROI) based on the patients breast size is proposed from which, statistical features are derived. SVM classifier is used to model the derived features to classify the

Face Video Retrieval with Image Query via Hashing across Euclidean Space and Riemannian Manifold
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Abstract Retrieving videos of a specific person given his/her face image as query becomes more and more appealing for applications like smart movie fast-forwards and suspect searching. It also forms an interesting but challenging computer vision task, as the visual

Annotation Based Image Retrieval using GMM and Spatial Related Object Approaches
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Abstract Image annotation and retrieval has been a popular research topic for decades. Based on published journals from 2012 until 2015, a lot of research and studies has been focused on Content Based Image Retrieval (CBIR). In most cases, CBIR systems that use

Data Mining Approach for Image Retrieval in Multimodal Fusion Using Frequent Pattern Tree
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Abstract: In this project utilizes the fusion of the images (textual and visual) for retrieving images. It combines two different data mining techniques to retrieve semantically related images: clustering and Frequent Pattern Tree Based Algorithm. In the offline phase, the

SATELLITE IMAGE SIMULATIONS FOR MODEL-SUPERVISED, DYNAMIC RETRIEVAL OF CROP TYPE AND LAND USE INTENSITY.
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ABSTRACT: To support food security, information products about the actual cropping area per crop type, the current status of agricultural production and estimated yields, as well as the sustainability of the agricultural management are necessary. Based on this information

Query Mining for Image Retrieval System Using Markov Chain Model
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Abstract:In the routines of many users, they need to interact with applications that deal with information retrieval process. These applications always deal with the documents in the database. There is a software which interacts and responds with the top documents from

Privacy Based Image Retrieval Using Visual and Textual Features
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Abstract:he number of internet users is increasing day by day. As the quantum of data to be accessed is increasing, the demand for fast response is increasing. To address this issue, most of the researchers are working in this field of relevant information retrieval. This work

Image Storage and Retrieval in Graded Memory
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ABSTRACT A new storage and retrieval methodology which is similar to human memory (which we call it as graded memory) for picture images is explored using multilayer Hopfield neural network The graded memory uses multilayer Hopfield neural network for storing

EXPLORING INFORMATION RETRIEVAL USING IMAGE SPARSE REPRESENTATIONS: FROM CIRCUIT DESIGNS AND ACQUISITION PROCESSES TO
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Abstract New advances in the field of image sensors (especially in CMOS technology) tend to question the conventional methods used to acquire the image. Compressive Sensing (CS) plays a major role in this, especially to unclog the Analog to Digital Converters which

RETRIEVAL OF SEA SURFACE TEMPERATURE OVER POTERAN ISLAND WATER OF INDONESIA WITH LANDSAT 8 TIRS IMAGE: A PRELIMINARY
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ABSTRACT: The Sea Surface Temperature (SST) retrieval from satellites data Thus, it could provide SST data for a long time. Since, the algorithms of SST estimation by using Landsat 8 Thermal Band are sitedependence, we need to develop an applicable algorithm in

A Novel Approach of Color Histogram Based Image Search/Retrieval
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Abstract:Image Retrieval system is an effective and efficient tool for managing large image databases. A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query

A Novel Content Based Image Retrieval for Database Information Retrieval System in Cloud
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Abstract: The abundance of multimedia data and information is challenging educators to effectively search, browse, access, use, and store the data for their classroom teaching. However, many educators could still be accustomed to teaching or searching for

Rapid Serial Visual Presentation for Relevance Feedback in Image Retrieval with EEG Signals.
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Master Thesis Content-based Image Retrieval for Agricultural Crops
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Cairo University Master Thesis Content-based ImageRetrieval for Agricultural Crops Submitted Master Thesis Content-based Image Retrieval for Agricultural Crops

Image Retrieval Based On Color and Texture Features Modification in Watermarking Technique
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Abstract:for this Paper because of the blast of data trade on the web and therefore the broad utilization of computerized media, it's been of maximum enthusiasm to advanced data proprietors seeable and sound security and mixed media insurance. For this



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