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Study of Content Based Image Retrieval Techniques

2017 International Journal of Science and Research (IJSR)  
Content-based image retrieval (CBIR) aims at retrieving images from a large database based on similarities in their features to a query image given by the user.  ...  It avoids the use of textual descriptions and instead retrieves images based on features like texture, colors, shapes etc.  ...  Image retrieval using image regions as query example In this technique, image regions are given as query example instead of whole image.  ... 
doi:10.21275/art20164191 fatcat:clnss2ahmjaoxpqzrcu5guqcci

Hybrid technique for colour image classification and efficient retrieval based on fuzzy logic and neural networks

Ranisha Fernando, Siddhivinayak Kulkarni
2012 The 2012 International Joint Conference on Neural Networks (IJCNN)  
This paper proposes a novel fuzzy approach to classify the colour images based on their content, to pose a query in terms of natural language and fuse the queries based on neural networks for fast and  ...  As a result, the necessity of retrieving images has emerged to be important to various professional areas.  ...  Most of the image retrieval systems are based on example image as query. However, this research proposes query in terms of natural language content as very low, low, medium, high and very high.  ... 
doi:10.1109/ijcnn.2012.6252587 dblp:conf/ijcnn/FernandoK12 fatcat:n2kwz3amufabtjuabponbnet6y


Irianto ., Y. Suhendro
2011 Jurnal Informatika  
The central problem of most Content Based Image Retrieval approaches is poor quality in terms of sensitivity (recall) and specificity (precision).  ...  In this paper we introduce an approach to reduce the impact of the semantic gap by integrating high-level (semantic) and low-level features to improve the quality of Image Retrieval queries.  ...  Meanwhile in applying content features as a query, we use the query-by-example (QBE) technique with the database.  ... 
doi:10.9744/informatika.10.2.73-78 fatcat:zok5nprovveilkwzrjt3errtmy

Three-dimensional interfaces for querying by example in content-based image retrieval

J. Assfalg, A. Del Bimbo, P. Pala
2002 IEEE Transactions on Visualization and Computer Graphics  
Query images are obtained by taking a snapshot of the framed environment and by using the snapshot as an example to retrieve similar database images.  ...  This analysis develops on a user test on retrieval efficiency and effectiveness, as well as on an evaluation of users' satisfaction. Index Terms-Content-based image retrieval, 3D user interfaces.  ...  Image retrieval systems support either retrieval based on high-level semantics, which defines image content at the conceptual level, or-more recently-retrieval based on visual content, which is based on  ... 
doi:10.1109/tvcg.2002.1044517 fatcat:7aldiv3btfgohnz3vmepb4uru4

Region of interest-based image retrieval techniques: a review

Mardhiyah Md Jan, Nasharuddin Zainal, Shahrizan Jamaludin
2020 IAES International Journal of Artificial Intelligence (IJ-AI)  
Segmentation, feature extraction, indexing, and retrieval of an image are the tasks required in retrieving images that contain similar regions as specified in a query.  ...  Retrieval performance in large databases can be improved with the application of content-based image retrieval systems which deals with the extraction of global and region features of images.  ...  An example of an MRI imagery database using multiple ROI query using the method by [32] Another technique is the region-based image retrieval system using a high-level semantic learning idea that has  ... 
doi:10.11591/ijai.v9.i3.pp520-528 fatcat:ayahw5e2hresrgn3xa3s7nzcya

Language-based querying of image collections on the basis of an extensible ontology

Christopher Town, David Sinclair
2004 Image and Vision Computing  
The design of a specialised query language for content based image retrieval (CBIR) provides a means of addressing many of the problems associated with commonly used query paradigms such as query-by-example  ...  This paper discusses these issues and illustrates the design and use of an ontological retrieval language through the example of the OQUEL query language.  ...  Most systems for content based image retrieval offer query composition facilities based on examples, sketches, feature predicates, structured database queries, or keyword annotation.  ... 
doi:10.1016/j.imavis.2003.10.002 fatcat:bcyyqxyt3je2xhkw4rvecw5v4q

Multi-Query Content Based Image Retrieval System using Local Binary Patterns

Simily Joseph, Kannan Balakrishnan
2011 International Journal of Computer Applications  
Content Based Image Retrieval systems open new research areas in Computer Vision due to the high demand of image searching methods.  ...  The experimental result shows that, the use of multiple queries has better retrieval performance over single image queries.  ...  CONCLUSION An efficient Content Based Image Retrieval system using multi query example is designed .The system is tested with human face expressions.  ... 
doi:10.5120/2235-2857 fatcat:rl2tmwpa7vekpblqkqy2zqoll4

Approaches, Challenges and Future Direction of Image Retrieval [article]

Hui Hui Wang, Dzulkifli Mohamad, N. A. Ismail
2010 arXiv   pre-print
This paper also discusses the semantic gap issues, user query mechanisms as well as common ways used to bridge the gap in image retrieval.  ...  The explosive growth of image data leads to the need of research and development of Image Retrieval.  ...  Content Based Image Retrieval In 1980s, Content-based image retrieval (CBIR) then has been used as an alternative to text based image retrieval.  ... 
arXiv:1006.4568v1 fatcat:fr5yznvyrja7johscgmqjiuop4


1998 Pattern Recognition  
Image retrieval by color regions is complicated by the fact that regions which are requested in the query should correspond to relevant colored regions in the retrieved images.  ...  A major research subject in image databases is to support efficient and effective access to images based on their visual content.  ...  Performance has been analyzed in terms of system precision and recall for different types of queries. Presently, the PICASSO system is used by Alinari Archives in Florence.  ... 
doi:10.1016/s0031-3203(97)00164-7 fatcat:vn7amxsvprdmlf6rt4tigwhv3e

A Literature Review of Image Retrieval based On Semantic Concept

Alaa. M.Riad, Hamdy. K. Elminir, Sameh. Abd-Elghany
2012 International Journal of Computer Applications  
This paper attempts to provide a comprehensive review and characterize the problem of the semantic gap that is the key problem of content-based image retrieval and the current attempts in high-level semantic-based  ...  image retrieval being made to bridge it.  ...  Content-Based Image Retrieval CBIR is a technique for image retrieval based on extracting and indexing of the low-level features of images, such as color, texture and shape, to support visual queries in  ... 
doi:10.5120/5008-7327 fatcat:blhmwfs46zfh7as7di44wwdgkm

Content-based image retrieval using a mobile device as a novel interface

Jonathon S. Hare, Paul H. Lewis, Rainer W. Lienhart, Noboru Babaguchi, Edward Y. Chang
2005 Storage and Retrieval Methods and Applications for Multimedia 2005  
This paper presents an investigation into the use of a mobile device as a novel interface to a content-based image retrieval system.  ...  The paper presents a novel methodology for performing content-based image retrieval and object recognition from query images that have been degraded by noise and subjected to transformations through the  ...  Salient regions for content-based image retrieval Much previous work in the field of content-based retrieval has been based around the concepts of using global descriptors to describe the content of the  ... 
doi:10.1117/12.588979 dblp:conf/spieSR/HareL05 fatcat:3fvipjextzd3jfb6fpumuri7za

Content Based Image Retrieval Using Quantitative Semantic Features [chapter]

Anuja Khodaskar, Siddharth Ladhake
2014 Lecture Notes in Computer Science  
Content-based image retrieval is a very important problem in image processing and analysis field.  ...  An important requirement for constructing effective content-based image retrieval (CBIR) systems is accurate characterization of visual information.  ...  The commonest approaches use the so-called Content-Based Image Retrieval (CBIR) systems.  ... 
doi:10.1007/978-3-319-07731-4_44 fatcat:3s2zp7wq6fhfnlt55iwddqv7j4

TBIdoc: 3D content-based CT image retrieval system for traumatic brain injury

Shimiao Li, Tianxia Gong, Jie Wang, Ruizhe Liu, Chew Lim Tan, Tze Yun Leong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee, Qi Tian, Zhuo Zhang, Nico Karssemeijer (+1 others)
2010 Medical Imaging 2010: Computer-Aided Diagnosis  
In this paper, we present the TBIdoc system: a content-based image retrieval (CBIR) system which works on the TBI CT images.  ...  In this web-based system, user can query by uploading CT image slices from one study, retrieval result is a list of TBI cases ranked according to their 3D visual similarity to the query case.  ...  Besides, a number of frameworks have been proposed for retrieving medical images using content-based techniques [1] [4] .  ... 
doi:10.1117/12.844092 dblp:conf/micad/LiGWLTLPLLTZ10 fatcat:vju2qplmprf4vloigtjijm7qli

Content-based Search for Image Retrieval

Mohamed M. Fouad
2013 International Journal of Image Graphics and Signal Processing  
Index Terms-Content-based, image retrieval and query, text search I. Content-based Search for Image Retrieval  ...  One can first place a keyword-based query, and then the desired images are retrieved by visual content-based query.  ...  Figure 1 . 1 Framework of the proposed content-based image query and retrieval (CIQR) approach.  ... 
doi:10.5815/ijigsp.2013.11.05 fatcat:h67bxjvyh5a5fpvxkyu3obpjxm


Meenu Meenu, Sonika Jindal
In parallel with this growth, content-based retrieval and querying the indexed collections are required to access visual information.  ...  In this thesis, a content-based image retrieval system is presented that computes texture and color similarity among images.  ...  A CBIR system which uses region features to represent images is known as Region Based Image Retrieval systems (RBIR).  ... 
doi:10.24297/ijct.v15i13.4800 fatcat:6npswrvbwvbybbfblhhmiscgra
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