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Building self-organized image retrieval network

Stanislav Barton, Vlastislav Dohnal, Jan Sedmidubsky, Pavel Zezula
2008 Proceeding of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval - LSDS-IR '08  
We propose a self-organized content-based Image Retrieval Network (IRN) that is inspired by a Metric Social Network (MSN) search system.  ...  The self-organization of the network is obtained by exploiting the social-network approach of the MSN -the connections between peers in the network are created as social-network relationships formed on  ...  MPEG-7 Feature SELF-ORGANIZED IMAGE RETRIEVAL NETWORK The proposed self-organized image retrieval network is based on a system called Metric Social Network (MSN) presented in [21] .  ... 
doi:10.1145/1458469.1458474 dblp:conf/cikm/BartonDSZ08 fatcat:a4wts3flxbeljnnde6cqwvkxyq

SOM-based R*-tree for similarity retrieval

Kun-Seok Oh, Yaokai Feng, K. Kaneko, A. Makinouchi, Sang-Hyun Bae
2001 Proceedings Seventh International Conference on Database Systems for Advanced Applications DASFAA 2001 DASFAA-01  
Self-organizing Maps (SOMs) provide mapping from high-dimensional feature vectors onto a twodimensional space. The mapping preserves the topology of the feature vectors.  ...  The results show that the SOM-based R' -tree outperforms both the SOM and Rf-tree due to the reduction of the number of nodes required to build R'-tree and retrieval time cost.  ...  SOM-Based R*-Tree Self-organizing Maps Self-organizing Maps (SOMs) are unsupervised neural networks that provide mapping from high-dimensional input space to a usually two-dimensional regular grid while  ... 
doi:10.1109/dasfaa.2001.916377 dblp:conf/dasfaa/OhFKMB01 fatcat:grehhoy4kzeetkwebc35skj7ei

Page 122 of Library & Information Science Abstracts Vol. , Issue 10 [page]

1995 Library & Information Science Abstracts  
: 11646 Computer industry: 12061 Public libraries - Performance measures - Library management: 11617 Library Public libraries - Renovation - buildings: 11647 University libraries - Research - Into - Networks  ...  - CD-ROM databases: 12039 Images: 12111 Interactive systems - Online information retrieval: 11979 Internet: 12068 Law - Full text databases - Online databases: 12021 Law - Online databases: 12023 Medicine  ... 

Web image retrieval using self‐organizing feature map

Qishi Wu, S. Sitharama Iyengar, Mengxia Zhu
2001 Journal of the American Society for Information Science and Technology  
Secondly, the Kohonen neural network model is introduced and led into the image retrieval process.  ...  Due to its self-organizing property, the cognitive knowledge is learned, accumulated, and solidified during the unsupervised training process.  ...  In this article, we choose the Kohonen neural network model as the integration scheme of multimedia and multimodali-ties because of its properties of unsupervised learning and self-organizing.  ... 
doi:10.1002/asi.1134.abs fatcat:wkznhcaff5ezzg6ja2kcyxc37y

Web image retrieval using self-organizing feature map

Qishi Wu, S. Sitharama Iyengar, Mengxia Zhu
2001 Journal of the American Society for Information Science and Technology  
Secondly, the Kohonen neural network model is introduced and led into the image retrieval process.  ...  Due to its self-organizing property, the cognitive knowledge is learned, accumulated, and solidified during the unsupervised training process.  ...  In this article, we choose the Kohonen neural network model as the integration scheme of multimedia and multimodali-ties because of its properties of unsupervised learning and self-organizing.  ... 
doi:10.1002/asi.1134 fatcat:pgrpce2yi5fw7aupwj4liw7uru

A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System

S. Manoharan, S. Sathappan
2012 International Journal of Computer Applications  
Retrieved Similar Images MD -Mammograms Database SOM -Self Organizing Map Second Stage GA -Genetic Algorithm figure 4 .  ...  In the first step, the use of a neural network called Self Organizing Map (SOM) for clustering the images with respect to their basic characteristics were proposed [11] .  ... 
doi:10.5120/9607-4238 fatcat:6uwcjr5jnvfuvcxagxuinaei44

Information Retrieval in Intelligent Systems: Current Scenario & Issues [article]

Sudhir Ahuja, Mr. Rinkaj Goyal
2012 arXiv   pre-print
technique that reduces the dimensions of data through the use of self-organizing neural networks.  ...  We then continue with the clustering technique that is used to group the similar things together and discuss the machine learning technique called Self-organizing maps [6] or SOM, which is a data visualization  ...  Self-Organizing Map Self-organizing map [6] is a technique invented by Professor Teuvo Kohonen and it generally refers to Kohonen's Self Organizing Map [11] , or SOM for short.  ... 
arXiv:1206.3667v1 fatcat:lhi4rbyikbethbkxymkwl4jkuy

Content-based indexing of multimedia databases

Jian-Kang Wu
1997 IEEE Transactions on Knowledge and Data Engineering  
Content-based retrieval of multimedia database calls for content-based indexing techniques.  ...  On the other hand, there are special requirements on content-based indexing: To support visual browsing, similarity retrieval, and fuzzy retrieval, nodes of the index should represent certain meaningful  ...  self-organization using Ko-honen's self-organization map.  ... 
doi:10.1109/69.649320 fatcat:u5bsvkwzqrdzbmqvm7ybvedvpi

Ontology-Guided Approach to Retrieving Disease Manifestation Images for Health Image Base Construction

Yang Chen, Xiaofeng Ren, Guo-Qiang Zhang, Rong Xu
2012 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology  
Building a comprehensive medical image database, in the spirit of the UMLS, can be beneficial for assisting diagnosis, patient education and self-care.  ...  We present an approach to combine visual object detection technologies with medical ontology to automatically mine web photos and retrieve a large number of disease manifestation images with minimal manual  ...  Our longterm goal is to build a freely accessible, large scale and patient-oriented health image base, consisting of images of human disease manifestations, organs and drugs.  ... 
doi:10.1109/hisb.2012.32 dblp:conf/hisb/ChenRZX12 fatcat:emhnguyadbeavhpbjnettcveem

Facial image retrieval, identification, and inference system

J. K. Wu, Y. H. Ang, P. C. Lam, S. K. Moorthy, A. D. Narasimhalu
1993 Proceedings of the first ACM international conference on Multimedia - MULTIMEDIA '93  
Here we present a Computer Aided Facial Image Identification, Retrieval and Inference System (CAFIIRIS) for criminal identification.  ...  It provides users with a flexible means to manipulate, archive, retrieve, and make use of facial images and text data. The facial images are visual rather than descriptive.  ...  Select a feature aspect, cluster the facial images into m classes by an extended self-organization neural network.  ... 
doi:10.1145/166266.166271 dblp:conf/mm/WuALMN93 fatcat:4rcn7bmwlrhpzebfullsq6lfty

Visual based retrieval systems and Web mining?Introduction

S. S. Iyengar
2001 Journal of the American Society for Information Science and Technology  
Kraft for giving us an opportunity to bring out this special issue on Visual-Based Retrieval System.  ...  Finally, Wu et al. present a neural network approach for effective retrieval process using a Self-Organizing Feature Map (SOFM) neural network algorithm.  ...  "A Media Agent for Automatically Building a Personalized Index of Web Media Objects" by Wenyin et al. describes a multimedia approach to solve image retrieval problems.  ... 
doi:10.1002/asi.1136 fatcat:q4gxhhign5devoxi4kj3mafcja

Similarity Retrieval Based on SOM-Based R*-Tree [chapter]

K. H. Choi, M. H. Shin, S. H. Bae, C. H. Kwon, I. H. Ra
2004 Lecture Notes in Computer Science  
We experimentally compare the retrieval time cost of a SBR -Tree with that of an SOM and an R*tree using color feature vectors extracted from 40,000 images.  ...  The result show that the SOM-based R*-tree outperforms both the SOM and R*-tree due to the reduction of the number of nodes required to build R*-tree and retrieval time cost.  ...  SOM is an unsupervised self-organizing neural network that is widely used to visualize and interpret large high-dimensional data sets.  ... 
doi:10.1007/978-3-540-24688-6_33 fatcat:ds3oizmurnhlbg46zi4dpzdwb4

Image Retrieval Technology of Smart Archives from the Perspective of National Reading

Qu Danqiu, Ren Hao, Zhiguo Qu
2022 Wireless Communications and Mobile Computing  
In order to improve the image retrieval effect of smart archives, reduce retrieval time, and enhance retrieval performance, this paper proposes an image retrieval technology for smart archives from the  ...  During the operation of the model, the image feature similarity of the wisdom archive is calculated, and the image is processed by the corresponding module, so as to realize the image retrieval technology  ...  It will continue to be supplemented and improved in the future research work. (1) Build a complete platform from front-end interactive web pages to back-end retrieval organization development and provide  ... 
doi:10.1155/2022/9592726 fatcat:5klzbphwbbaazmj5oq7tral4v4

Content-based image retrieval using a signature graph and a self-organizing map

Thanh The Van, Thanh Manh Le
2016 International Journal of Applied Mathematics and Computer Science  
Then, we present a CBIR model which combines a signature graph and a self-organizing map to cluster and store similar images.  ...  In order to effectively retrieve a large database of images, a method of creating an image retrieval system CBIR (contentbased image retrieval) is applied based on a binary index which aims to describe  ...  Fig. 7 . 7 Model of a signature self-organizing map. Algorithm 4 . 4 SOM network training.  ... 
doi:10.1515/amcs-2016-0030 fatcat:dody4wgo2bcapafgw4t3jm6yhe

An Enhanced Support Vector Regression Model for Weather Forecasting

R. Usha Rani
2013 IOSR Journal of Computer Engineering  
organizing maps and with best practice of more kernel functions investigation in weather forecasting.  ...  This paper also provides a critical modeling design using the non linear regression namely support vector machines which is very non interpretable neural network designed as a two stage activity in prediction  ...  Multi Layer Preceptron In recent years, automatic indexing and retrieval based on image content has become more desirable for developing large volume image retrieval applications [8] .  ... 
doi:10.9790/0661-1222124 fatcat:obkhnu77cnbira4vr6hv5vtgqm
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