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Image retrieval and relevance feedback using peer indexing

Jun Yang, Qing Li, Yueting Zhuang
Proceedings. IEEE International Conference on Multimedia and Expo  
A cooperative framework is proposed under which peer index is integrated with low-level features for image retrieval and relevance feedback.  ...  We present the idea of peer indexing-indexing an image by semantically correlated images-and its application in image retrieval.  ...  A COOPERATIVE FRAMEWORK FOR IMAGE RETRIEVAL AND RELEVANCE FEEDBACK There is no doubt that images matched by peer index are highly relevant to the sample image, since peer index contains the userperceived  ... 
doi:10.1109/icme.2002.1035624 dblp:conf/icmcs/YangLZ02 fatcat:7o6df3c4gvaizjiqfmtn7uyeue

Towards Data-Adaptive and User-Adaptive Image Retrieval by Peer Indexing

Jun Yang, Qing Li, Yueting Zhuang
2004 International Journal of Computer Vision  
In this paper, we propose a novel approach to data-adaptive and user-adaptive image retrieval based on the idea of peer indexing-describing an image through semantically relevant peer images.  ...  Based on two-level image peer indices, retrieval parameters including query vectors and similarity metric can be optimized towards both data and user characteristics by applying the pseudo feedback strategy  ...  In fact, the spirit of peer indexing is consistent with that of the above two approaches-indexing images using "visual keywords" (which are semantically relevant images in peer index and keyblocks in the  ... 
doi:10.1023/b:visi.0000004836.59343.e9 fatcat:pfgkrtedhbfv3eeru2gkcgab6y

A scalable approach for content based image retrieval in cloud datacenter

Jianxin Liao, Di Yang, Tonghong Li, Jingyu Wang, Qi Qi, Xiaomin Zhu
2013 Information Systems Frontiers  
For searching semantically close images, the relevance feedback is adopted in our system to overcome the gap between low-level features and high-level features.  ...  In this paper, we propose a scalable image retrieval framework which can efficiently support content similarity search and semantic search in the distributed environment.  ...  To satisfy these requirements, LRFIR constructs indexes based on the image feature vectors and further improves the results by using the relevance feedback.  ... 
doi:10.1007/s10796-013-9467-0 fatcat:6u5d7ps2tnfhdjo2wn4676z3pe

A decentralized image retrieval system for education

Jinshan Tang, S.T. Acton
2003 IEEE Systems and Information Engineering Design Symposium, 2003  
The DIRECT service finds the collections in the library and requests the images using the same method that the portal uses to search and request images.  ...  A portal or client application can query DIRECT, and it will use the features of the desired image to search the library for images with the same features.  ...  ., =1), the characteristics of color and texture are considered equally in the image search. Relevance Feedback Another way to improve the retrieval performance is to use relevance feedback.  ... 
doi:10.1109/sieds.2003.157997 fatcat:bakuvas5ejad3aq7nozitg53cy


Swathi H .
2014 International Journal of Research in Engineering and Technology  
Content Based image retrieval (CBIR) is next big thing on search market. Performing content based image retrieval on internet databases connected using P2P network is the scope of our work.  ...  Authors in [1] have proposed a P2P-CBIR search engine to provide scalable image retrieval which can adaptively control the query scope and progressively define the accuracy of query results.  ...  To respond a query, the server helps the query peer, P, to forward the query message, Q, to all peers with relevant contents, which would perform retrieval and transmit relevant images toward P.  ... 
doi:10.15623/ijret.2014.0305022 fatcat:6un3hpd3pnel3nbqixusq7ukzu

Designing a Peer-to-Peer Architecture for Distributed Image Retrieval [chapter]

Akrivi Vlachou, Christos Doulkeridis, Dimitrios Mavroeidis, Michalis Vazirgiannis
2008 Lecture Notes in Computer Science  
In this paper, we present an architecture that adopts the peer-to-peer (P2P) paradigm for indexing, searching and ranking of image content.  ...  The ultimate goal of our architecture is to provide an adaptive search mechanism for image content, enhanced with learning, relying on image features, user-defined annotations and user feedback.  ...  A relevance feedback mechanism for P2P contentbased image retrieval is proposed in [8] .  ... 
doi:10.1007/978-3-540-79860-6_15 fatcat:67bmae5blrbovc6a4pop3ofw3i

Adaptive image retrieval using a Graph model for semantic feature integration

Jana Urban, Joemon M. Jose
2006 Proceedings of the 8th ACM international workshop on Multimedia information retrieval - MIR '06  
In addition, we present ideas to implement short-term learning from relevance feedback. Systematic experimental results validate the effectiveness of the proposed approach for image retrieval.  ...  However, the model is not restricted to the image domain and could easily be employed for retrieving multimedia data (and even a combination of different domains, eg images, audio and text documents).  ...  The research leading to this paper was supported by the European Commission under contract FP6-027026, Knowledge Space of semantic inference for automatic annotation and retrieval of multimedia content-K-Space  ... 
doi:10.1145/1178677.1178696 dblp:conf/mir/UrbanJ06 fatcat:xnuwqg567zgrdldtqolutfw6qa

From federated to aggregated search

Fernando Diaz, Mounia Lalmas, Milad Shokouhi
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
, blog, etc  These types of information are indexed and ranked using dedicated approaches (verticals)  Presenting the results from verticals in an aggregated way believed to be more useful  All  ...  Voorhees etal, 95) Data fusion  Search one collection  Document can be indexed in different ways  Title index, abstract index, etc (poly-representation)  Weighting scheme  Different retrieval  ... 
doi:10.1145/1835449.1835682 dblp:conf/sigir/DiazLS10 fatcat:iu5htgjzjfc37frmmhbnbastki

Progress in Information Retrieval [chapter]

Mounia Lalmas, Stefan Rüger, Theodora Tsikrika, Alexei Yavlinsky
2006 Lecture Notes in Computer Science  
has also continued to make inroads into areas such as Genomics, Multimedia, Peer-to-Peer and XML retrieval.  ...  This paper summarises the scientific work presented at the 28th European Conference on Information Retrieval and demonstrates that the field has not only significantly progressed over the last year but  ...  Fadi Yamout, Michael Oakes, and John Tait. Relevance feedback using weight propagation.  ... 
doi:10.1007/11735106_1 fatcat:74ltdd2pkfeedbvrmtjrai5q3e

Learning from Relevance Feedback Sessions using a K-Nearest-Neighbor-Based Semantic Repository

Matthew Ro, Ran Chang, Xiaojun Qi
2007 Multimedia and Expo, 2007 IEEE International Conference on  
Index Terms -Content-based image retrieval, semantic repository, k-nearest-neighbor-based relevance learning  ...  This paper introduces a flexible learning approach for image retrieval with relevance feedback.  ...  As a viable solution, relevance feedback techniques are extensively studied to retrieve the user's desired images.  ... 
doi:10.1109/icme.2007.4285070 dblp:conf/icmcs/RoyalCQ07 fatcat:dmf6zfenp5fcplj5wc4ghpnphu

A Radial Basis Function and Semantic Learning Space Based Composite Learning Approach to Image Retrieval

Konstantin Shkurko, Xiaojun Qi
2007 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  
This paper introduces a composite learning approach for image retrieval with relevance feedback.  ...  User's relevance feedback is utilized for updating both low-level and high-level features of the query image.  ...  Consequently, relevance feedback techniques are extensively studied to close the gap and quickly retrieve the user's desired images.  ... 
doi:10.1109/icassp.2007.366065 dblp:conf/icassp/ShkurkoQ07 fatcat:4pyxsnuicbcytiyx4x5su7iyfa

Dynamic semantic feature-based long-term cross-session learning approach to content-based image retrieval

Zhongmiao Xiao, Matthew J. Clark, KokSheik Wong, Xiaojun Qi
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Our extensive experiments show that the proposed system outperforms three peer systems in the context of both correct and erroneous relevance feedback.  ...  This paper proposes a novel content-based image retrieval technique, which facilitates short-term (intra-query) and long-term (inter-query) learning processes by integrating accumulated users' historical  ...  INTRODUCTION Relevance feedback (RF) techniques [1] have been widely used in content-based image retrieval (CBIR) systems to formulate the query in an interactive process, bridge the semantic gap, and  ... 
doi:10.1109/icassp.2012.6288062 dblp:conf/icassp/XiaoCWQ12 fatcat:eu5tmu66kjbjfj5fy5nassnd3a

Content-Based Image Retrieval by Query Adaptive Search using Hash Codes

Aarthi E, Kaviya S, Keerthika D, Kirithika B
2017 IJARCCE  
Progressive solutions usually use hashing ways to plant high-dimensional image options into playing area, wherever search may be performed in period supported playing distance of compact hash codes.  ...  Query-adaptive weights area unit then computed online by evaluating the proximity between a question and also the linguistics thought categories.  ...  To enhance the query effectiveness and based on users' behaviours two query expansion mechanisms and an implicit relevance feedback approach are used.  ... 
doi:10.17148/ijarcce.2017.6342 fatcat:7f36fh4drfe5tcoar6pj4dmvbu

An application of swarm intelligence to distributed image retrieval

David Picard, Arnaud Revel, Matthieu Cord
2012 Information Sciences  
Based on the relevance feedback scheme, we use ant-like agents to crawl the network and to retrieve relevant images. Agents movements are influenced by markers stored on the hosts.  ...  Our system shows a high improvement over classical content based image retrieval systems which do not use previous sessions information.  ...  Classically, in Content Based Image Retrieval (CBIR), visual features are extracted from the images and then compiled into an index or signature [22] .  ... 
doi:10.1016/j.ins.2010.03.003 fatcat:3mobrjcnvvgcpeggct6jqr6te4

A retrieval pattern-based inter-query learning approach for content-based image retrieval

Adam D. Gilbert, Ran Chang, Xiaojun Qi
2010 2010 IEEE International Conference on Image Processing  
User's relevance feedback is utilized for updating high-level semantic features of the query image and each database image.  ...  This paper presents a retrieval pattern-based inter-query learning approach for image retrieval with relevance feedback.  ...  INTRODUCTION Relevance feedback (RF) techniques have been widely used in content-based image retrieval (CBIR) to bridge the semantic gap and improve retrieval performance.  ... 
doi:10.1109/icip.2010.5654156 dblp:conf/icip/GilbertCQ10 fatcat:tog3ro5ufzegtputdgkrid6xwq
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