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August 2016 VOLUME 5, ISSUE 8, AUGUST 2016 5th Generation Wi-Fi Shatha Ghazal, Raina S Alkhlailah Abstract | PDF with Text | DOI: 10.17148/IJARCCE.2016.5801 ECG Arrhythmia Detection Using Choi-Williams Time-Frequency Distribution and Artificial Neural Network Sanjit K. Dash, G. Sasibhushana Rao Abstract | PDF with Text | DOI: 10.17148/IJARCCE.2016.5802 Data Security using RSA Algorithm in Cloud Computing Santosh Kumar Singh, Dr. P.K. Manjhi, Dr. R.K. Tiwari Abstract | PDF with Text | DOI: 10.17148/IJARCCE.2 ...

Abdullah K K A, Robert A B C, Adeyemo A B
2016 IJARCCE  
This paper discussed query terms with semantic search for retrieval of web content using different semantic indexing techniques.  ...  This would increase precision and recall for the semantic search when compared to traditional search.  ...  The ontology is used in information retrieval for query expansion, indexing and retrieval [7] .  ... 
doi:10.17148/ijarcce.2016.5869 fatcat:ihbu5ekllnhqjbuw6yeetnin3q

Genre Specific Classification for Information Search and Multimodal Semantic Indexing for Data Retrieval

S. Gomathy, K.P. Deepa, T. Revathi, L. Maria Michael Visuwasam
2013 The SIJ Transactions on Computer Science Engineering & its Applications (CSEA)  
Our system describes architecture for a new video searching mechanism that not only accepts text based inputs but also accepts image based input from the user to retrieve the video results.  ...  The overall aim of the paper is to provide ease to the user by giving a refined video search by accepting both text and image inputs.  ...  It adapts a two-step framework, a genre specific classification for information search and multimodal semantic indexing, for data retrieval.  ... 
doi:10.9756/sijcsea/v1i1/01010159 fatcat:56gib7vgzzcvnins26rovciytm

A Systematic Review Web Content Mining Tools and its Applications

Manjunath Pujar, Monica R Mundada
2021 International Journal of Advanced Computer Science and Applications  
Web content mining tools were needed to scan text, images and HTML documents and provide results to the search engine.  ...  The paper focused mainly on the mining and retrieval techniques, various WCM approaches, challenges and process of information retrieval and information extraction.  ...  contentdependent retrieval, indexing and automatic segmentation [10] .  ... 
doi:10.14569/ijacsa.2021.0120886 fatcat:qqoyefg5hjgutiqaasxmbwhoq4

A Literature Review of Image Retrieval based On Semantic Concept

Alaa. M.Riad, Hamdy. K. Elminir, Sameh. Abd-Elghany
2012 International Journal of Computer Applications  
image retrieval being made to bridge it.  ...  This paper attempts to provide a comprehensive review and characterize the problem of the semantic gap that is the key problem of content-based image retrieval and the current attempts in high-level semantic-based  ...  an intuitive way, and index images automatically with content descriptors [13] .  ... 
doi:10.5120/5008-7327 fatcat:blhmwfs46zfh7as7di44wwdgkm

Advanced Image Retrieval with Topical Classification Strategy

Anuja khodaskar, Siddarth Ladhake
2015 Procedia Computer Science  
and help researchers to continue their work for improving classification accuracy.  ...  Experimental result shows performance evolution in precision, accuracy and retrieval time of image retrieval.  ...  Indexing and retrieval After similarity matching, relevant images are retrieved which are indexed based on semantic analyser and automatic relevance feedback.  ... 
doi:10.1016/j.procs.2015.04.180 fatcat:r5j75562rjhrznyksff47ifwfq

Machine Learning and Security Applications in Digital Library

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Using machine learning it is possible to search and retrieve non-textual information. The paper also discusses the machine learning applications in security aspects.  ...  A systematic review of literature is also done and with the help of citation mapping in Web of Science citation network analysis is presented  ...  In this model, figures are categorized automatically and indexed, which can be used for retrieval of scientific documents [20] . E.  ... 
doi:10.35940/ijitee.a4718.119119 fatcat:afbz5i443je63mndgcputepubi

Automatic categorization of figures in scientific documents

Xiaonan Lu, Prasenjit Mitra, James Z. Wang, C. Lee Giles
2006 Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries - JCDL '06  
We have developed a machine-learning-based approach for automatic categorization of figures.  ...  We propose an architecture for retrieving documents by integrating figures and other information.  ...  The authors would like to thank Jia Li for providing the source code for the classification of photographs and graphics [19] .  ... 
doi:10.1145/1141753.1141778 dblp:conf/jcdl/LuMWG06 fatcat:sp4l3nickrgq3novmzxdopd5ja

Enhance Approach For Auto Caption Generation On Different News Images Dataset Using Fuzzy Logic

Priyanka V. Thakre*, Ashish S. Sambare
2016 Zenodo  
Also the retrieved image contains any textual data along with the images. Our announced the task of automatic caption generation for news images.  ...  , user comment the tags, captions, and, generally, text surrounding the image.  ...  A common theme across different models is domain specificity, the use of hand-labeled data indexed by image signature (e.g. Color and texture), and reliance on background ontological information.  ... 
doi:10.5281/zenodo.57047 fatcat:7lqh7cuy3nglpjlx7d2c7isswu

A TUTORIAL REVIEW OF AUTOMATIC IMAGE TAGGING TECHNIQUE USING TEXT MINING

Sayantani Ghosh .
2013 International Journal of Research in Engineering and Technology  
The images which are captured are later accessed for the purpose of searching, classification and retrieval operation.  ...  The main objective of this paper is to depict how Text Mining technique can be implemented in the process of Automatic Image Tagging.  ...  In the process of Automatic Image Tagging to increase the efficiency of image retrieval and classification, uses the technique of Text Mining to construct image annotation models that are capable of automatically  ... 
doi:10.15623/ijret.2013.0203010 fatcat:6lzhqx3gezc3lhtvatehn4mvpq

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

Santhosh J, Shafna M
2017 IJARCCE  
The improved entropy and lexicon method effectively performs information retrieval process on different type of text, image and video datasets.  ...  The implementation and experiments used multi-class image, video datasets and text datasets with lexicon entropy. the system significantly improve average precision, accuracy and storage efficiency by  ...  Information retrieval and classification has a wide area of application, from surveillance and traffic monitoring to medical imaging.  ... 
doi:10.17148/ijarcce.2017.63221 fatcat:j2mvmadisjhwlf2rha3ljr6uqq

Image Analysis in Technical Documentation

Fabio Carrara, Franca Debole, Claudio Gennaro, Giuseppe Amato
2019 Sistemi Evoluti per Basi di Dati  
, like big data analysis and machine learning methods.  ...  This paper presents the on-going work done within the ADA project, with special emphasis on the specific image analysis work carried out to extract information from images contained in the so different  ...  Acknowledgments This work was partially funded by "Automatic Data and documents Analysis to enhance human-based processes" (ADA), CUP CIPE D55F17000290009.  ... 
dblp:conf/sebd/CarraraDGA19 fatcat:nj6msltrbncu3mijdamwkfj77m

A comparative analysis of web image and textual queries

Hsiao‐Tieh Pu
2005 Online information review (Print)  
Originality/value -This study provides results that may enhance one's understanding of web-searching behaviour and the inherent implications for the improvement of current web image retrieval systems.  ...  Findings -Useful results include the findings that web users tend to input short queries when searching for visual or textual information; that image requests have more zero hits and higher specificity  ...  Such approaches suffer from the high cost and inconsistency of manual indexing, and automatic indexing cannot be successful without appropriate text accompanying the images.  ... 
doi:10.1108/14684520510628864 fatcat:c733nj3i25cgzcezx45qsbevju

Text Categorization Comparison between Simple BPNN and Combinatorial Method of LSI and BPNN

Hemlata Tekwani, Mahak Motwani
2014 International Journal of Computer Applications  
This paper proposed a text categorization comparison between simple BPNN and Combinatorial method of LSI and BPNN.  ...  Here we implement combinatorial method of LSI and BPNN based technique for the classification of 20Newsgroup dataset which include categories of Sports, CS, and Medicine.  ...  LSI is an approach for automatic indexing and retrieval of documents based on the notion of concept.  ... 
doi:10.5120/17138-7723 fatcat:q3cnicxrsbhapmh7qlihvii7re

Image understanding and the web: a state-of-the-art review

Fariza Fauzi, Mohammed Belkhatir
2014 Journal of Intelligent Information Systems  
Such characterization allows for understanding the image content and is crucial in important Web-based tasks such as image indexing and retrieval.  ...  Furthermore, questions pertaining to the organization of these textual components into coherent structures that are usable in image indexing and retrieval frameworks shall arise.  ...  For example, the WordNet ontology is widely diffused in the research community as the knowledge base for the English language to perform automatic concept indexing and classification (Aslandogan et al  ... 
doi:10.1007/s10844-014-0323-6 fatcat:ye44hw6oczf6vo7fp4ovh2k5nm

Automatic Subject Indexing of Text

Koraljka Golub
2019 Knowledge organization  
The following major approaches are discussed, in terms of their similarities and differences, advantages and disadvantages for automatic assigned indexing from KOSs: "text categorization," "document clustering  ...  and classification systems.  ...  Text categorization Text categorization or text classification are two terms that most often refer to automatic indexing of textual documents where both manually (intellectually) assigned documents and  ... 
doi:10.5771/0943-7444-2019-2-104 fatcat:bpauojjk7ndtngmi6nxjimce6e
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