Filters








195,545 Hits in 8.4 sec

Combining Information Retrieval with Information Extraction for Efficient Retrieval of Calls for Papers

Fotis Lazarinis
1998 unpublished
This paper proposes the use of information extraction techniques in order to identify these attributes for the domain of calls for papers.  ...  The effectiveness of this model and the benefits of integrating information extraction with information retrieval are shown by comparing our system with a typical information retrieval system.  ...  Mark Dunlop for his valuable guidance and support throughout this project. Also I would like to acknowledge the help of the IR group of the Computing Science Department of the University of Glasgow.  ... 
doi:10.14236/ewic/irsg1998.6 fatcat:wltf4qe3tbamboxzyufuelhdwi

A STUDY AND SURVEY ON CONTENT-BASED IMAGE RETRIEVAL USING LOW LEVEL FEATURES FOR MOBILE DEVICES

Manjusha Y. Patil, Amol B. Kasture
2020 Samvakti Journal of Research in Information Technology  
features like color, texture and shape for efficient and accurate image retrieval on mobile devices.  ...  Page No. 42 summarization of the different features like color, texture and shape of images with their functionality for content-based image retrieval systems (CBIR).  ...  So, this paper gives summarization of the different features of images with their functionality with dissimilar researchers for content-based image retrieval systems.  ... 
doi:10.46402/202007.343.48.255 fatcat:knj6oozskne6dmgzv6s2tnmh2u

A Performance Evaluation of Shape Based Image Retrieval Using Heuristic Function

Parmalik Kumar, Pushpa Tandekar, Dhirendra Kumar Jha
2013 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
In this paper descried the review of content based image retrieval based on shape based feature and optimization technique such as ANT colony optimization, genetic algorithm and neural network.  ...  Heuristic function plays an important role in content based image retrieval. The heuristic function used for feature selection and feature optimization for retrieval process.  ...  They combine survival of the fittest among string structures with a structured yet randomized information exchange to form a search algorithm with some innovative flair of human search.  ... 
doi:10.24297/ijct.v12i2.3286 fatcat:3ae24udrlvbznbfsxlrethjxhm

Improved CBIR through Combined Indexing Technique

Sihem Mostefai, Sunitha Jeyasekhar
2012 Journal of clean energy technologies  
There are various aspects that affect the demand for efficient database techniques to manage the flood of multimedia data, namely the increasing number of objects, the increasing complexity of objects.  ...  In this paper we discuss the current state-of-the-art of various indexing technique as seen from content-based image retrieval point of view and proposed a novel approach named Hierarchical Hash Grid Indexing  ...  Feature extraction is concerned with capturing visual content of images for search and retrieval. C.  ... 
doi:10.7763/ijcte.2012.v4.454 fatcat:3qbrikyodbfafbioetowztzs3y

Colour Features Extraction Techniques and Approaches for Content-Based Image Retrieval (CBIR) System

Muhammad Naim Abdullah, Mohd Afizi Mohd Shukran, Mohd Rizal Mohd Isa, Nor Suraya Mariam Ahmad, Mohammad Adib Khairuddin, Mohd Sidek Fadhil Mohd Yunus, Fatimah Ahmad
2021 Journal of Materials Science and Chemical Engineering  
An image retrieval system was developed purposely to provide an efficient tool for a set of images from a collection of images in the large database that matches the user's requirements in similarity evaluations  ...  This paper discusses and describes about the colour features technique for image retrieval systems.  ...  This research also was done in conjunction with the main research titled Research on Content-Based Image Retrieval (CBIR) Approach for Biometric Security Using RGB Histogram for Colour Features Extraction  ... 
doi:10.4236/msce.2021.97003 fatcat:2xwtrrh5snbollhxtd2tnasav4

A Universal Model For Content-Based Image Retrieval

S. Nandagopalan, Dr. B. S. Adiga, N. Deepak
2008 Zenodo  
A combination of three feature extraction methods namely color, texture, and edge histogram descriptor. There is a provision to add new features in future for better retrieval efficiency.  ...  In this paper a novel approach for generalized image retrieval based on semantic contents is presented.  ...  In this paper apart from the usual features like color and texture, a new feature extraction algorithm called edge histogram is introduced.  ... 
doi:10.5281/zenodo.1072762 fatcat:uoq3jtyzlrewzbicvn57cddocy

Improved Entropy and Key Point Feature Extractor for Effective Multimedia Information Retrieval

Santhosh J, Shafna M
2017 IJARCCE  
In this proposal, the semi-supervised bag of words representation is used for information retrieval.  ...  In this paper, a new semisupervised lexicon based optimized information retrieval methods are proposed.  ...  Performance evaluation of proposed semi-supervised KIFT feature extraction for information retrieval is compared with the existing feature extraction algorithms.  ... 
doi:10.17148/ijarcce.2017.63221 fatcat:j2mvmadisjhwlf2rha3ljr6uqq

Content based Image Retrieval using Implicit and Explicit Feedback with Interactive Genetic Algorithm

Ghanshyam Raghuwanshi, Nishchol Mishra, Sanjeev Sharma
2012 International Journal of Computer Applications  
This paper presents a new image retrieval framework with two types of relevance feedback i.e., implicit feedback in combination with explicit feedback.  ...  There are various new applications of genetic algorithms to information retrieval, mostly with respect to relevance feedback.  ...  That"s why a new technique is needed which is called Genetic algorithm which must be combined with the image retrieval system to improve the efficiency and also to optimize the search time.  ... 
doi:10.5120/6186-8665 fatcat:tjbds5x5qzavpmycdfxjbbo7ba

An Automatic Object Retrieval Framework for Complex Background

Yimin Yang, Fausto C. Fleites, Haohong Wang, Shu-Ching Chen
2013 2013 IEEE International Symposium on Multimedia  
In this paper we propose a novel framework for object retrieval based on automatic foreground object extraction and multi-layer information integration.  ...  The object-level information is enhanced during the feature extraction layer by assigning different weights to foreground and background pixels respectively; and the spatial color and texture information  ...  Then the bounding box images are applied with the object-level information extraction and integration for final retrieval.  ... 
doi:10.1109/ism.2013.71 dblp:conf/ism/YangFWC13 fatcat:3lqtujvseza4vjdsvlopcsoj3y

An Efficient Algorithm to Reduce the Semantic Gap between Image Contents and Tags

Grishma Y.Bobhate, Usha A. Jogalekar
2013 International Journal of Computer Applications  
With the rapid growth in the new era of Internet Technology, image retrieval is an active and traditional method for searching the images by keywords or by images from the large amount of image database  ...  As tags gives the descriptive information of an image on the web. Due to noisy nature in tags, it becomes necessary to correlate both image content and tag information for retrieval purposes.  ...  In this paper, extraction of four different kinds of features from an image is done as follows.  ... 
doi:10.5120/12541-9136 fatcat:eakjpf5kt5h53eapjdls3rbpwu

Cartoon Based Image Retrieval : An Indexing Approach

Suman Muralidhar, Sharath Kumar Y H
2018 Zenodo  
This method makes use of indexing technique for more efficient and scalable retrieval of the cartoon character.  ...  This paper proposes a methodology for the content based image retrieval which is implemented on the cartoon images.  ...  CONCLUSIONS This paper proposes a method to retrieve the cartoon images for the user query.  ... 
doi:10.5281/zenodo.1215945 fatcat:dnx4rnsi25b5bit4zm7i5h5rs4

A Study on Image Retrieval Based on Tetrolet Transform

Devika Sarath, M Sucharitha
2018 International Journal of Engineering & Technology  
This survey paper facilitates the researchers with background of progress of image retrieval methods that will help researchers in the area to select the best method for texture image retrieval appropriate  ...  Image retrieval techniques vary with feature extraction methods and various distance measures.  ...  High pass component of the decomposed image at each level is used as input values for feature extraction and also by taking the standard deviation in combination with energy at each subband.  ... 
doi:10.14419/ijet.v7i3.27.17964 fatcat:yd2iyf5rkbch5n22tzkr3dp4hy

PRIME: A System for Multi-lingual Patent Retrieval [article]

Shigeto Higuchi, Masatoshi Fukui, Atsushi Fujii, Tetsuya Ishikawa
2002 arXiv   pre-print
efficiency by way of machine translation and clustering.  ...  Our system also extracts new translations from patent families consisting of comparable patents, to enhance the translation dictionary.  ...  Acknowledgments The authors would like to thank NOVA, Inc. for their support with the Nova dictionary and Transer system, and Makoto Iwayama for his support with the HBC software.  ... 
arXiv:cs/0206035v1 fatcat:ffwwfddrafazha62jhzxtiwat4

Analysis on CBIR with Color and Texture-based Feature Extraction using SVM

Binay Kumar, Neha Janu, Sushila Vishnoi, Vipin Jain
2019 International Journal of Computer Applications  
In this technology era, images have become a major part of information processing. An Image plays an important role in Image registration (IR) processing for the extraction of information.  ...  Through the studied of various research papers after that conclude the color and texture-based feature extraction is the most important for imparting the best extraction and support vector machine makes  ...  ACKNOWLEDGMENTS The acknowledgment is addressed to Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur for supporting with us.  ... 
doi:10.5120/ijca2019919376 fatcat:t7bqiedkjbecrdipo266jszpw4

Content-based image retrieval on mobile devices

Iftikhar Ahmad, Shafaq Abdullah, Serkan Kiranyaz, Moncef Gabbouj, Reiner Creutzburg, Jarmo H. Takala
2005 Multimedia on Mobile Devices  
Expeditious retrieval of desired images requires indexing of the content in large-scale databases along with extraction of low-level features based on the content of these images.  ...  In this paper we present a content-based image retrieval system for mobile platforms, providing the capability of content-based query to any mobile device that supports Java platform.  ...  In this paper, we will present a content-based image retrieval system which uses combination of low-level features for image retrieval as compared to previous retrieval schemes which only works over a  ... 
doi:10.1117/12.596772 fatcat:nwnzns4u6bcxxko4rtnuz4jqwa
« Previous Showing results 1 — 15 out of 195,545 results