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Relevance Feedback in CBIR [chapter]

Hongjiang Zhang, Zhong Su
2002 Visual and Multimedia Information Management  
In this paper, we present a brief overview of the current stateof-the-art of this topic, and present a framework of integrated relevance feedback and semantic learning in CBIR.  ...  We consider relevance feedback in CBIR a small sample-learning process in sparse image feature space. Almost all of the previously proposed methods fall well into such framework.  ...  RELEVANCE FEEDBACK IN CBIR -A REVIEW There are many issues in relevance feedback approaches to CBIR, such as learning schemes, feature selection, index structure and scalability.  ... 
doi:10.1007/978-0-387-35592-4_3 fatcat:s56mbelgvzgvfcxhjlbnldkwma

An Improved Relevance Feedback in CBIR [article]

Subhadip Maji, Smarajit Bose
2020 arXiv   pre-print
Relevance Feedback in Content-Based Image Retrieval is a method where the feedback of the performance is being used to improve itself.  ...  In addition to all of these, the paper also shows a novel idea to even improve the 0-th iteration retrieval accuracy from the information of Relevance Feedback.  ...  The graphical result is shown in Figure 2 . Here RF0 means the CBIR without any relevance feedback.  ... 
arXiv:2006.11821v2 fatcat:sqwrchknxfblhbpkwxvziabpyy

Relevance feedback based saliency adaptation in CBIR

Giang P. Nguyen, Marcel Worring
2005 Multimedia Systems  
We aim to dynamically update the user-and context-dependent definition of saliency based on relevance feedback.  ...  Experimental results prove the effectiveness of adapting the saliency from user feedback in the retrieval process.  ...  Relevance feedback By interacting with the objects visualized, the user gives relevance feedback RF i to the system.  ... 
doi:10.1007/s00530-005-0178-3 fatcat:aigo6676hvhudjhdxe7mlsyqoe

SVM Relevance Feedback in HSV Quantization for CBIR

Jasman Pardede
2018 Journal of Computers  
In this research have implemented SVM relevance feedback technique in HSV quantization for CBIR. The proposed technique has two stages.  ...  The best value of the constants provided generates the best model of SVM RF in the HSV Quantization method so that improve the performance of the CBIR system.  ...  In the SVM relevance feedback technique, the user gives feedback to result of the CBIR system as a relevant image by choosing images that match to the image query.  ... 
doi:10.17706/jcp.13.12.1366-1384 fatcat:mztmgsvtyvatzc66j7bsg6a34e

Implementation of neural network in CBIR systems with relevance feedback

Nenad Kojic, Slobodan Cabarkapa, Goran Zajic, Branimir Reljin
2006 Journal of Automatic Control  
distances and a subjective one based on the user's relevance feedback.  ...  A content-based image retrieval system where an active learning strategy is used to gain relevance feedback (RF) is described.  ...  Implementation of Neural Network in CBIR Systems with Relevance Feedback Nenad S. Kojić, Slobodan K. Čabarkapa, Goran J. Zajić, and Branimir D.  ... 
doi:10.2298/jac0601041k fatcat:hw2yzri4tjer3hynclrpjwoske

Text Retrieval Relevance Feedback Techniques For Bag Of Words Model In Cbir

Nhu Van NGUYEN, Jean-Marc OGIER, Salvatore TABBONE, Alain BOUCHER
2009 Zenodo  
We study and experiment the relevance feedback model in text retrieval for adapting it to image retrieval.  ...  The state-of-the-art Bag of Words model in Content- Based Image Retrieval has been used for years but the relevance feedback strategies for this model are not fully investigated.  ...  ACKNOWLEDGMENT This project is supported in part by the ICT-Asia IDEA project from the French Ministry of Foreign Affairs (MAE), the DRI INRIA and DRI CNRS.  ... 
doi:10.5281/zenodo.1329077 fatcat:hyjokwjo2rf4jkemsvnra2agcu

Accelerating of Image Retrieval in CBIR System with Relevance Feedback

Goran Zajić, Nenad Kojić, Vladan Radosavljević, Maja Rudinac, Stevan Rudinac, Nikola Reljin, Irini Reljin, Branimir Reljin
2007 EURASIP Journal on Advances in Signal Processing  
Content-based image retrieval (CBIR) system with relevance feedback, which uses the algorithm for feature-vector (FV) dimension reduction, is described.  ...  In this way, the "curse of dimensionality" is bypassed since redundant components of a query FV are rejected.  ...  He is involved in the Figure 1 : 1 Typical architecture of CBIR system with relevance feedback.  ... 
doi:10.1155/2007/62678 fatcat:i2sbitckcjfqzimugodp2mqmbq

Reduct-Based Result Set Fusion for Relevance Feedback in CBIR

Samar Zutshi, Campbell Wilson, Bala Srinivasan
2007 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)  
Relevance feedback (RF) is a widely used technique to deal with the issues of user subjectivity and the semantic gap in Content-Based Image Retrieval (CBIR).  ...  The method is demonstrated in the context of a simple test image collection for clarity. An analysis of the sample iterations of feedback is presented.  ...  This is a degenerate case in terms of the early relevance feedback techniques (e.g.  ... 
doi:10.1109/icis.2007.154 dblp:conf/ACISicis/ZutshiWS07 fatcat:euonwnszubca7akafmhsqth5jm

Performance Comparison of Different Similarity Models for CBIR with Relevance Feedback [chapter]

Daniel Heesch, Alexei Yavlinsky, Stefan Rüger
2003 Lecture Notes in Computer Science  
doi:10.1007/3-540-45113-7_45 fatcat:hil5bp2b3jflham7gy6pce7tta

Distance selection based on relevance feedback in the context of CBIR using the SFS meta-heuristic with one round

Mawloud Mosbah, Bachir Boucheham
2017 Egyptian Informatics Journal  
In this paper, we address the selection in the context of Content Based-Image Retrieval (CBIR).  ...  We specifically propose a hybrid system based on the Sequential Forward Selector (SFS) metaheuristic with one round and relevance feedback.  ...  Relevance feedback The relevance feedback concept, coming from documentary information retrieval [21, 22] , has received, in last few years, a lot of attention in the CBIR field, e.g. [23] .  ... 
doi:10.1016/j.eij.2016.09.001 fatcat:tma7o32dsfb5pbsxpvyuyro5bq

Improving the performance of CBIR system using relevance feedback

P. A. Vikhar, D. V. Shinkar, N. Mishra
2010 Proceedings of the International Conference and Workshop on Emerging Trends in Technology - ICWET '10  
Therefore, a searching based on content-known as content-based image retrieval (CBIR)-is required. One of the features used in CBIR is the shape.  ...  The experiments showed that NPHOG improved the HOG and PHOG performance in three clothing categories.  ...  (4) Recall is the comparison between the number of relevant image and the total relevant images in the data base, given in (5) [11] . (5) Results and Analysis In this section, we present the implementation  ... 
doi:10.1145/1741906.1742032 dblp:conf/icwet/VikharSM10 fatcat:evr52fqkx5hydd5vog5lbkyq6i

Multiple Feature Extraction in CBIR with Relevance Feedback

Prajakta Thakare, Sushree Pradhan, Sudarson Jena
Asian Journal of Convergence in Technology   unpublished
The performance of CBIR systems is further enhanced by relevance feedback (RF) mechanism that incorporates human perception subjectivity into the query process and provides users with opportunity to evaluate  ...  This paper presents superior feature extraction technique in CBIR using multiple features like color and texture than the single feature.  ...  The active user interaction is provided by incorporating relevance feedback in CBIR. Relevance feedback is a powerful technique for interactive image retrieval.  ... 

A medical content based image retrieval system with eye tracking relevance feedback

F. Maiorana
2013 Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems  
This article presents a software tool that integrates a Content Based Image Retrieval (CBIR) system with an implicit relevance feedback system that uses data gathered from an eye tracker.  ...  The gaze point can be used to infer regions of interest in the query image thus allowing for searches based on global or local features, and to steer the retrieval process of relevant images.  ...  Recently eye tracker systems are used in CBIR software to obtain implicit relevance feedback [9] [10] .  ... 
doi:10.1109/cbms.2013.6627805 dblp:conf/cbms/Maiorana13 fatcat:begkjc5tkza25jrxjnov5qmope

Comparative Evaluation of Image Retrieval Algorithms using Relevance Feedback and it's Applications

Latika Pinjarkar, Kamal Mehta, Manisha Sharma, Kamal Mehta
2012 International Journal of Computer Applications  
To be more profitable, Relevance Feedback (RF) techniques were incorporated into CBIR such that more precise results can be obtained by taking user's feedbacks into account.  ...  In this paper Content Based Image Retrieval algorithms using Relevance Feedback technique are discussed. The comparative study of these algorithms is done.  ...  CHALLENGES IN RF BASED CBIR SYSTEMS CONCLUSION Relevance Feedback is a powerful Technique in CBIR for Multimedia retrieval.  ... 
doi:10.5120/7447-0448 fatcat:jned7doo4bbevjxc556nnqehnu

A novel log-based relevance feedback technique in content-based image retrieval

Chu-Hong Hoi, Michael R. Lyu
2004 Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04  
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR).  ...  In this paper, we propose a novel scheme to study the log-based relevance feedback (LRF) technique for improving retrieval performance and reducing the semantic gap in CBIR.  ...  The work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. CUHK4182/03E).  ... 
doi:10.1145/1027527.1027533 dblp:conf/mm/HoiL04 fatcat:rvtktxx5nzao3cvejx3imctyve
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