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Manifold-ranking based image retrieval

Jingrui He, Mingjing Li, Hong-Jiang Zhang, Hanghang Tong, Changshui Zhang
2004 Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04  
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR).  ...  Given a query image, MRBIR first makes use of a manifold ranking algorithm to explore the relationship among all the data points in the feature space, and then measures relevance between the query and  ...  Propose a novel transductive learning framework for image retrieval based on a manifold ranking algorithm; 2.  ... 
doi:10.1145/1027527.1027531 dblp:conf/mm/HeLZTZ04 fatcat:hovtimqynrgznjsnrfllq2iazm

Scaling manifold ranking based image retrieval

Yasuhiro Fujiwara, Go Irie, Shari Kuroyama, Makoto Onizuka
2014 Proceedings of the VLDB Endowment  
Manifold Ranking is a graph-based ranking algorithm being successfully applied to retrieve images from multimedia databases.  ...  Given a query image, Manifold Ranking computes the ranking scores of images in the database by exploiting the relationships among them expressed in the form of a graph.  ...  proposed to apply Manifold Ranking instead of L p -norms based similarity search for image retrieval [6] .  ... 
doi:10.14778/2735496.2735498 fatcat:ygwu3s5ervfudjlmhcdes32yv4

Generalized Manifold-Ranking-Based Image Retrieval

J. He, M. Li, H.-J. Zhang, H. Tong, C. Zhang
2006 IEEE Transactions on Image Processing  
In this paper, we propose a general transductive learning framework named generalized manifold-ranking-based image retrieval (gMRBIR) for image retrieval.  ...  Index Terms-Image retrieval, manifold ranking, outside the database, relevance feedback.  ...  named generalized manifold-ranking-based image retrieval (gMRBIR) for image retrieval.  ... 
doi:10.1109/tip.2006.877491 pmid:17022278 fatcat:xchcdifkkbemxb2xr3odubzmfi

Semantic clusters based manifold ranking for image retrieval

Ran Chang, Xiaojun Qi
2011 2011 18th IEEE International Conference on Image Processing  
We propose a novel weighted manifold-ranking based image retrieval method to improve the effectiveness of traditional manifold methods.  ...  Index Terms-Content based image retrieval (CBIR), backbone image, semantic clusters, weighted manifold  ...  CONCLUSIONS We propose a novel SCs-based manifold ranking system for image retrieval.  ... 
doi:10.1109/icip.2011.6116133 dblp:conf/icip/ChangQ11 fatcat:bfenevvchrcevhlanmxzhwocle

Manifold-Ranking-Based Keyword Propagation for Image Retrieval

Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang
2006 EURASIP Journal on Advances in Signal Processing  
In this paper, a novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm.  ...  In relevance feedback, the feedback information can be naturally incorporated to refine the retrieval result by additional propagation processes.  ...  In this paper, we propose a novel method to support keyword propagation for image retrieval based on a recently developed manifold ranking algorithm [19, 20] .  ... 
doi:10.1155/asp/2006/79412 fatcat:ygiq42upzzh2bmtahqssox3ozu

Manifold-ranking Based Image Retrieval Using Natural Neighbor

Qingsheng Zhu, Zhi Chen, Cheng Zhang
2016 International Journal of Database Theory and Application  
We apply the new graph structure into the framework of manifold-ranking based image retrieval.  ...  We have shown that the manifold ranking algorithm based on our proposed graph structure performs better than k-NN graph.  ...  Furuya [12] introduced cross-domain manifold ranking for sketch-based image and 3D model retrieval.  ... 
doi:10.14257/ijdta.2016.9.8.14 fatcat:ox3syuvknfdh5dqg7h3sxvtajm

A hierarchical manifold subgraph ranking system for content-based image retrieval

Ran Chang, Xiaojun Qi
2013 2013 IEEE International Conference on Multimedia and Expo (ICME)  
We present a novel hierarchical manifold subgraph ranking system for content-based image retrieval (CBIR).  ...  Our extensive experimental results demonstrate the proposed system achieves the best retrieval accuracy when comparing with two manifold-based and five state-of-the-art CBIR systems in the context of correct  ...  [7] propose the manifold ranking based image retrieval (gMRBIR) algorithm to represent images and their relationships as a graph and propagate labeled information among images via the graph structure  ... 
doi:10.1109/icme.2013.6607466 dblp:conf/icmcs/ChangQ13 fatcat:uts2tcgo2fht7lqeptle4hw3pa

Visual Saliency Weighting and Cross-Domain Manifold Ranking for Sketch-Based Image Retrieval [chapter]

Takahiko Furuya, Ryutarou Ohbuchi
2014 Lecture Notes in Computer Science  
To effectively compare the sketch containing stroke noise with database images, we employ Cross-Domain Manifold Ranking (CDMR), a manifold-based distance metric learning algorithm.  ...  A Sketch-Based Image Retrieval (SBIR) algorithm compares a linedrawing sketch with images. The comparison is made difficult by image background clutter.  ...  ., edges on leaves and edges on clouds) are effectively suppressed. 2.2 Cross-Domain Manifold Ranking for sketch-based image retrieval Cross-Domain Manifold Ranking (CDMR) The CDMR [12] consists  ... 
doi:10.1007/978-3-319-04114-8_4 fatcat:wnqnzuu5eja5tabf6zrn7aq7vq

Implementation of Efficient Manifold Ranking (EMR) Model for Content-Based Image Retrieval

K Dinesh, M Tech, J Lavanya, A Sridhar
unpublished
INTRODUCTION The traditional methods for image retrieval are based on the data features but they do not use the underlying structure information.  ...  It has been observed that databases have unde lying cluster or manifold structure. Under such cases, it is possible that we can assume label consistency.  ...  These objectives are useful to enhance retrieval process. 1. To learn various ranking methods used for content based image retrieval (CBIR). 2.  ... 
fatcat:ihf2u3n57zdplelacio3n2bvtq

Combining Attention Model with Hierarchical Graph Representation for Region-Based Image Retrieval

S.-H. FENG, D. XU, B. LI
2008 IEICE transactions on information and systems  
Song-He FENG•õa), Student Member, De XU•õb), Member, and Bing LI•õc), Student Member SUMMARY The manifold-ranking algorithm has been successfully adopted in content-based image retrieval (CBIR) in recent  ...  Experimental results demonstrate that the proposed approach shows the satisfactory retrieval performance compared to the global-based and the block-based manifold-ranking methods.  ...  We compared the performances of the fol- lowing methods: (1) The global feature based manifold- ranking algorithm [4], noted as •gGlobal-MR•h; (2) Retrieval using block based manifold-ranking  ... 
doi:10.1093/ietisy/e91-d.8.2203 fatcat:tciwxcprhnbfvdrdwurixjz5gi

Medical Image Retrieval with Relevance Feedback via Pairwise Constraint Propagation

2014 KSII Transactions on Internet and Information Systems  
Relevance feedback is an effective tool to bridge the gap between superficial image contents and medically-relevant sense in content-based medical image retrieval.  ...  The basic idea is to obtain pairwise constraints from user feedback and propagate them to the entire image set to reconstruct the similarity matrix, and then rank medical images on this new manifold.  ...  Acknowledgement The authors would like to thank TM Deserno, Dept. of Medical Informatics, RWTH Aachen, Germany, for providing the medical image databases used in the experiments.  ... 
doi:10.3837/tiis.2014.01.015 fatcat:ow4vpvnninh5pfrmbkxmrc7urm

HAAR Wavelets and Graph based Model for Content Based Image Retrieval in MNIST

K. Sai Prasanna Lakshmi
2018 International Journal for Research in Applied Science and Engineering Technology  
Content based image retrieval systems are using graph based ranking models for image retrieval.  ...  In previous papers these systems are using well known graph based models like Manifold Ranking and Efficient manifold ranking for the retrieval of out of samples.  ...  Particularly, it has been very useful for Content based image retrieval. It is mainly used to reduce the shortcomings of traditional graph based approaches like Manifold ranking and Gabor filtering.  ... 
doi:10.22214/ijraset.2018.4020 fatcat:5hvkvifugrdwbnw75fna2qvz5u

Learning a weighted semantic manifold for content-based image retrieval

Ran Chang, Zhongmiao Xiao, KokSheik Wong, Xiaojun Qi
2012 2012 19th IEEE International Conference on Image Processing  
We propose a novel weighted semantic manifold ranking system for content-based image retrieval.  ...  This manifold builds a more accurate intrinsic structure for the proper image space by combining visual and semantic relevance relations.  ...  [2] propose the generalized manifold ranking based image retrieval algorithm (gMRBIR) to represent image relationships as a graph and propagate labeled information among images using the graph structure  ... 
doi:10.1109/icip.2012.6467381 dblp:conf/icip/ChangXWQ12 fatcat:fezckhwzk5csbjamefp7sopsei

Multi-Manifold Ranking: Using Multiple Features for Better Image Retrieval [chapter]

Yang Wang, Muhammad Aamir Cheema, Xuemin Lin, Qing Zhang
2013 Lecture Notes in Computer Science  
Manifold Ranking (MR) is one of the most popular graphbased ranking methods and has been widely used for information retrieval.  ...  The existing approaches that use manifold ranking rely only on a single image manifold.  ...  We compare our proposed approach with several manifold ranking based algorithms. Below are the details. •MR. This is the first work [4] that applied manifold ranking (MR) for image retrieval. •EMR.  ... 
doi:10.1007/978-3-642-37456-2_38 fatcat:lkd7aty4gzh4hnq72wic2lzlnm

A Scalable Graph-Based Semi-Supervised Ranking System for Content-Based Image Retrieval

Xiaojun Qi, Ran Chang
2013 International Journal of Multimedia Data Engineering and Management  
The authors propose a scalable graph-based semi-supervised ranking system for image retrieval.  ...  The authors' extensive experiments demonstrate the proposed system outperforms four manifold-based and five state-of-the-art long-term-based image retrieval systems.  ...  To this end, He et al. (2006) propose a generalized manifold-ranking-based image retrieval (gMRBIR) algorithm, which works well for any query image inside or outside the database.  ... 
doi:10.4018/ijmdem.2013100102 fatcat:c4b76naaejhyhcwxghskmk7lte
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