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Automatic Feature Weight Determination using Indexing and Pseudo-Relevance Feedback for Multi-feature Content-Based Image Retrieval [article]

Asheet Kumar, Shivam Choudhary, Vaibhav Singh Khokhar, Vikas Meena, Chiranjoy Chattopadhyay
2018 arXiv   pre-print
In this paper, we propose a novel CBIR framework by applying to index using multiclass SVM and finding the appropriate weights of the individual features automatically using the relevance ratio and mean  ...  Low level features like color, texture, and shape feature vectors of an image are always considered to be an important attribute in CBIR system.  ...  A comparative study of major challenges in RF for CBIR is given in [14] . Authors of [15] have proposed a long term learning scheme in relevance feedback for CBIR.  ... 
arXiv:1812.04215v1 fatcat:e2qmhv7lmjfqnfodn3hhm3my4e

Automatic weighing attribute to retrieve similar lung cancer nodules

David Jones Ferreira de Lucena, José Raniery Ferreira Junior, Aydano Pamponet Machado, Marcelo Costa Oliveira
2016 BMC Medical Informatics and Decision Making  
Methods: In this context, the aim of this work is to present a method to automatically calculate attribute weights based on local learning to reflect the interpretation on image retrieval process.  ...  25% compared with tests without weights associated to attributes in similarity metric.  ...  Publication of this article was funded by Foundation to Support Research from Alagoas (FAPEAL) and Coordination to Personal Improvement of the High Level (CAPES).  ... 
doi:10.1186/s12911-016-0313-4 pmid:27460071 pmcid:PMC4965736 fatcat:nwtz3npg3rg55bwnohqbedwoq4

Dynamic two-stage image retrieval from large multimedia databases

Avi Arampatzis, Konstantinos Zagoris, Savvas A. Chatzichristofis
2013 Information Processing & Management  
In additional experiments using local feature derivatives in the visual stage instead of global, such as the emerging visual codebook approach, we find that two-stage does not work very well.  ...  Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection.  ...  Introduction In content-based image retrieval (CBIR), images are represented by global or local features.  ... 
doi:10.1016/j.ipm.2012.03.005 fatcat:36uvluwezfddfah2wuwi2bl7kq

Automatic classification and detection of clinically relevant images for diabetic retinopathy

Xinyu Xu, Baoxin Li, Maryellen L. Giger, Nico Karssemeijer
2008 Medical Imaging 2008: Computer-Aided Diagnosis  
We proposed a novel approach to automatic classification of Diabetic Retinopathy (DR) images and retrieval of clinically-relevant DR images from a database.  ...  In the retrieval stage, we retrieve images from the archival database who bear the same label with the query image, and who are the top K nearest neighbors of the query image in terms of similarity in  ...  Motivated by the above observations, we propose a method for automatic DR image classification based on lesions contained in the image, and for automatic retrieval of clinically-relevant DR images from  ... 
doi:10.1117/12.769858 dblp:conf/micad/XuL08 fatcat:cq7f6pxgpjenlnb7awrcwn6eaq

Content‐based image retrieval using Gaussian–Hermite moments and firefly and grey wolf optimization

Yasasvy Tadepalli, Meenakshi Kollati, Swaraja Kuraparthi, Padmavathi Kora, Anil Kumar Budati, Lakshmi Kala Pampana
2021 CAAI Transactions on Intelligence Technology  
The retrieval of images in CBIR is carried out in an OpenCV python environment with K‐nearest neighbours and random forest algorithm classifiers.  ...  The proposed content‐based image retrieval (CBIR) uses Gaussian–Hermite moments as the low‐level features. Later these features are compressed with principal component analysis.  ...  The pseudo-code of the proposed FAGWO-based on optimum weight selection for feature weighing in the CBIR framework is shown in Algorithm 1.  ... 
doi:10.1049/cit2.12040 doaj:20b5a29a4e424a1998a2857938ca795c fatcat:ue5pgr6v6fa45igumwbzrtuxlm

A Novel Image Retrieval Based on Visual Words Integration of SIFT and SURF

Nouman Ali, Khalid Bashir Bajwa, Robert Sablatnig, Savvas A. Chatzichristofis, Zeshan Iqbal, Muhammad Rashid, Hafiz Adnan Habib, Daniel L Rubin
2016 PLoS ONE  
In Content-Based Image Retrieval (CBIR), high-level visual information is represented in the form of low-level features.  ...  The two local features representations are selected for image retrieval because SIFT is more robust to the change in scale and rotation, while SURF is robust to changes in illumination.  ...  We are thankful to Amy Bruno-Linder, University of Vienna, Austria, for her valuable suggestions concerning language use during the writing of the paper.  ... 
doi:10.1371/journal.pone.0157428 pmid:27315101 pmcid:PMC4912113 fatcat:mvmyraoarrh6bk6r6fmzaee47q

Definition of an automated Content-Based Image Retrieval (CBIR) system for the comparison of dermoscopic images of pigmented skin lesions

Alfonso Baldi, Raffaele Murace, Emanuele Dragonetti, Mario Manganaro, Oscar Guerra, Stefano Bizzi, Luca Galli
2009 BioMedical Engineering OnLine  
Results: The analysis system of the images consists in the extraction of the low-level representative features which permits the retrieval of similar images in terms of colour and texture from the archive  ...  Similar search engine could find possible usage in all sectors of diagnostic imaging, or digital signals, which could be supported by the information available in medical archives.  ...  The aim of these systems is to transfer the ABCD attributes, as well as other characteristics based on texture, into automatically computed quantities and use these parameters in order classify the PSLs  ... 
doi:10.1186/1475-925x-8-18 pmid:19682395 pmcid:PMC2735740 fatcat:swdsv4hvkzfa7bxmufbridjhpa

LEARNING IN CONTENT BASED IMAGE RETRIEVAL : A REVIEW

Renuka Devi S M .
2016 International Journal of Research in Engineering and Technology  
State-of-art learning techniques ranging from Feature Relevance learning to manifold learning in STL and Latent Semantic Analysis used in text processing to recent kernel semantic learning in LTL are discussed  ...  extracted low level features of images.  ...  In QVM, the modified query moves towards P and away from N images of the user feedback. General CBIR system with STL and LTL: Feature weighing: The idea of Rui et al.  ... 
doi:10.15623/ijret.2016.0502018 fatcat:aw5w2zi27fgg7i6df7lv2nl7nu

A Study Of Gaps In Cbmir Using Different Methods And Prospective

Pradeep Singh, Sukhwinder Singh, Gurjinder Kaur
2008 Zenodo  
In recent years, rapid advances in software and hardware in the field of information technology along with a digital imaging revolution in the medical domain facilitate the generation and storage of large  ...  Content-based Image Retrieval (CBIR) consists of retrieving the most visually similar images to a given query image from a database of images[5].  ...  BRIDGING THE GAP The difficulty faced by CBIR methods in making inroads into medical applications can be attributed to a combination of several factors.  ... 
doi:10.5281/zenodo.1057959 fatcat:73ydw72jqrgxrhx2rweng5vujq

An Ensemble Based Evolutionary Approach to the Class Imbalance Problem with Applications in CBIR

Aun Irtaza, Syed Adnan, Khawaja Ahmed, Arfan Jaffar, Ahmad Khan, Ali Javed, Muhammad Mahmood
2018 Applied Sciences  
The proposed approach resolves the classification disagreement amongst different classifiers and also resolves the class imbalance problem in CBIR.  ...  In order to lower the dependence on textual annotations for image searches, the content based image retrieval (CBIR) has become a popular topic in computer vision.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app8040495 fatcat:diof4242dzaatmj5jf4b6i23e4

A new content-based image retrieval technique using color and texture information

Xiang-Yang Wang, Hong-Ying Yang, Dong-Ming Li
2013 Computers & electrical engineering  
Experimental results show that the proposed color image retrieval is more accurate and efficient in retrieving the user-interested images.  ...  In this paper, we propose a new content-based image retrieval technique using color and texture information, which achieves higher retrieval efficiency.  ...  Linear color spaces are based on a set of primary colors, and describe colors in terms of a weighed sum of the intensities of these primary colors.  ... 
doi:10.1016/j.compeleceng.2013.01.005 fatcat:kx54eer5arautde5jewh7dzely

Early Detection Ofhigh Blood Pressure And Diabetic Retinopathy On Retinal Fundus Images Using Cbrir Based On Lifting Wavelets

MRS. S.S.TADASARE, PROF. S. S. PAWAR
2018 Zenodo  
We are presenting here a lifting wavelet based CBRIR image retrieval system in which system uses color and texture as features to describe the content of a retinal fundus images.  ...  Our contribution is of three directions.  ...  attributes named as f1 to f31.  ... 
doi:10.5281/zenodo.1454085 fatcat:xuaohmcc25fgbl2r2go5cmfhoq

Recent Advance in Content-based Image Retrieval: A Literature Survey [article]

Wengang Zhou, Houqiang Li, Qi Tian
2017 arXiv   pre-print
Content-based image retrieval (CBIR), which makes use of the representation of visual content to identify relevant images, has attracted sustained attention in recent two decades.  ...  The purpose of this paper is to categorize and evaluate those algorithms proposed during the period of 2003 to 2016. We conclude with several promising directions for future research.  ...  Firstly, it is difficult to define a complete set of attribute vocabulary, either manually or in an automatic manner.  ... 
arXiv:1706.06064v2 fatcat:m52xwsw5pzfzdbxo5o6dye2gde

SPIRS: A Web-based image retrieval system for large biomedical databases

William Hsu, Sameer Antani, L. Rodney Long, Leif Neve, George R. Thoma
2009 International Journal of Medical Informatics  
Purpose-With the increasing use of images in disease research, education, and clinical medicine, the need for methods that effectively archive, query, and retrieve these images by their content is underscored  ...  This paper describes the implementation of a Web-based retrieval system called SPIRS (Spine Pathology & Image Retrieval System), which permits exploration of a large biomedical database of digitized spine  ...  Acknowledgements This research was supported by the Intramural Research Program of the National Institutes of Health (NIH), National Library of Medicine (NLM), and Lister Hill National Center for Biomedical  ... 
doi:10.1016/j.ijmedinf.2008.09.006 pmid:18996737 pmcid:PMC2693318 fatcat:cgcgsd26jjcqxjf6sog7hj4yym

Interactive Visualization and Tuning of SIFT Indexing [article]

Pavan Kumar Dasari, P. J. Narayanan
2010 International Symposium on Vision, Modeling, and Visualization  
In this paper, we propose a a visualization-based tool to tune the indexing process for images and videos. We use a feature selection approach to improve the clustering of SIFT vectors.  ...  We present results of tuning the indexing for a few standard datasets. A few tuning iterations result in an improvement of over 4% in the final classification performance, which is significant.  ...  We propose a visualization-based framework and a tool to help tune indexing systems for CBIR.  ... 
doi:10.2312/pe/vmv/vmv10/097-105 dblp:conf/vmv/DasariN10 fatcat:72laomsmhbfgxezdtopw7g2x3q
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