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Query Refinement in Similarity Retrieval Systems

Kaushik Chakrabarti, Michael Ortega, Kriengkrai Porkaew, Sharad Mehrotra
2001 IEEE Data Engineering Bulletin  
Membership in the TC on Data Engineering is open to all current members of the IEEE Computer Society who are interested in database systems.  ...  Its scope includes the design, implementation, modelling, theory and application of database systems and their technology.  ...  Aditya, Urmila Kelkar, Megha Meshram and Parag for implementing some parts of the BANKS system and for their help with loading the databases.  ... 
dblp:journals/debu/ChakrabartiOPM01 fatcat:kwrajv6a2rbr5kng7lmk66a5wu

Refinement of search results using cross lingual reference technique
IJARCCE - Computer and Communication Engineering

MONIKA SHARMA, SUDHA MORWAL
2014 IJARCCE  
Semantically similar pages that are desirable by the user are often not retrieved .CLIR is helpful for refining the search result of Google.  ...  This System will avoid the overhead involved in creating multiple requests in case of different languages document retrieval .This System can be used for NLP Linguistics, Govt Organizations such as Intelligence  ...  Semantically similar pages to the query in the other languages will also be retrieved.  ... 
doi:10.17148/ijarcce.2014.31207 fatcat:gqv6yeym5zaxvh2pibkhejy6xy

An Approach to Integrating Query Refinement in SQL [chapter]

Michael Ortega-Binderberger, Kaushik Chakrabarti, Sharad Mehrotra
2002 Lecture Notes in Computer Science  
Query refinement is used to handle user subjectivity in similarity search systems.  ...  This paper explores how to enhance database systems with query refinement for content-based (similarity) searches in object-relational databases.  ...  Preliminaries -Similarity Retrieval Model Before we embark on an explanation of query refinement, we first discuss the similarity retrieval model on which we build our query refinement work.  ... 
doi:10.1007/3-540-45876-x_4 fatcat:nyr4qrpptbanfeom2tnhifm5ha

Query Refinement by Relevance Feedback in an XML Retrieval System [chapter]

Hanglin Pan, Anja Theobald, Ralf Schenkel
2004 Lecture Notes in Computer Science  
We show the comparison between different strategies of rank aggregation, query reweighting and expansion. We also show our approach to refine structural XML queries based on relevance feedback.  ...  Each document in a result set has a relevance assessment score provided by human experts.  ...  , and automatically generating a refined query for the XML retrieval system XXL.  ... 
doi:10.1007/978-3-540-30464-7_70 fatcat:tnvvqpg2lfe6nmph7ouy5wuui4

New query refinement and semantics integrated image retrieval system with semiautomatic annotation scheme

Hongjiang Zhang
2001 Journal of Electronic Imaging (JEI)  
Based on this scheme, an image retrieval and semiautomatic annotation system, iFind [A unified framework for semantics and feature based relevance feedback in image retrieval systems," in  ...  Relevance feedback is a powerful and widely used technique in content-based image retrieval systems.  ...  In the case of query by example, the user provides a set of example images as the query and the retrieval system tries to retrieve other similar images.  ... 
doi:10.1117/1.1406504 fatcat:5gyivk6oprbrxji2op7po3p26e

A survey of query expansion, query suggestion and query refinement techniques

Jessie Ooi, Xiuqin Ma, Hongwu Qin, Siau Chuin Liew
2015 2015 4th International Conference on Software Engineering and Computer Systems (ICSECS)  
The ineffectiveness of information retrieval systems often caused by the inaccurate use of keywords in a query.  ...  In order to solve the ineffectiveness problem in information retrieval systems, many solutions have been proposed over the years.  ...  Query expansion and query refinement are more similar in the sense of query modification than query suggestion.  ... 
doi:10.1109/icsecs.2015.7333094 fatcat:dsianagocneutmitiaujsi5q6i

Personalization in Collaborative Fusion based Enterprise Information retrieval

2019 International journal of recent technology and engineering  
The solution is based on query refinement using the information hidden in enterprise messaging systems.  ...  A user profile is built as vector of concepts using the information in enterprise messaging systems and this user profile concept vector is used to refine the query in way to personalize the results and  ...  The solution is based on query refinement using the information hidden in enterprise messaging systems.  ... 
doi:10.35940/ijrte.d8539.118419 fatcat:q47m7dbpjzhrjnus24hgt37xlq

A Novel Combinational Relevance Feedback Based Method for Content-based Image Retrieval

2016 Acta Polytechnica Hungarica  
The proposed method is based on multi-query relevance feedback, and similarity function refinement.  ...  Relevance feedback is used by the system to help it retrieve more relevant images in response to a query.  ...  Acknowledgement This work was supported in part by the project VKSZ_14-1-2015-0072, SCOPIA: Development of diagnostic tools based on endoscope technology supported by the European Union, co-financed by  ... 
doi:10.12700/aph.13.5.2016.5.7 fatcat:sq7knhtsuzhshcwzdnnmgdvqta

Automatic Query Expansion for News Video Retrieval

Yun Zhai, Jingen Liu, Mubarak Shah
2006 2006 IEEE International Conference on Multimedia and Expo  
In this paper, we present an integrated system for news video retrieval. The proposed system incorporates both speech and visual information in the search mechanisms.  ...  Based on the relevant shots selected from the initial search round, keyword histograms are automatically generated for the refinement of the search query, such that the reformulated query fits better to  ...  In the proposed search system, we have developed an image-based refinement mechanism. In this component, we analyze the similarities between the video key-frames.  ... 
doi:10.1109/icme.2006.262693 dblp:conf/icmcs/ZhaiLS06 fatcat:jgp456mw6vdbbp7dhln4rir24q

Query refinement for multimedia similarity retrieval in MARS

Kriengkrai Porkaew, Kaushik Chakrabarti
1999 Proceedings of the seventh ACM international conference on Multimedia (Part 1) - MULTIMEDIA '99  
Typical content-based retrieval systems allow users to specify queries by providing examples of objects similar to the ones they wish to retrieve.  ...  In the Multimedia Analysis and Retrieval System (MARS), we have explored query refinement techniques to modify the query based on the relevance feedback of the user on the retrieved objects.  ... 
doi:10.1145/319463.319613 dblp:conf/mm/PorkaewC99 fatcat:7gezkttnk5a7fnc3sd5ufy6a7y

Refining Image Search through Visual Similarities

Dipalee N.Gaikwad, Sandeep U. Kadam
2015 International Journal of Computer Applications  
To improve the results of image search visual similarities are used. The similarity is checked between query image and images in the database.  ...  Images having higher similarity are retrieved, which makes search accurate.  ...  Images having high similarities with query image are retrieved. based on visual similarities of the images the search is refined. So the generated results are more efficient.  ... 
doi:10.5120/21834-5095 fatcat:hoaaom3qjncvxmh2qs4tvdr4ki

A Model for Interactive Web Information Retrieval [chapter]

Orland Hoeber, Xue Dong Yang
2006 Lecture Notes in Computer Science  
Users are required to formulate their queries with very little support from the system, and are provided with a list-based representation of the web search results that promotes a sequential evaluation  ...  We propose a model for web information retrieval that uses visualization and interactive visual manipulation to support the users as they take an active role in satisfying their information needs.  ...  Implementation Interactive Query Refinement In order to explore the interactive query refinement cycle within this model, we have developed the VisiQ system to allow users to formulate and refine their  ... 
doi:10.1007/11795018_24 fatcat:73zhyrvfwnb7rnaivrdelguyhi

PEGASUS: an information mining system for TV news videos

Jingen Liu, Yun Zhai, Mubarak Shah, Kevin L. Priddy, Emre Ertin
2006 Intelligent Computing: Theory and Applications IV  
In the retrieval phase, the user submits a query generated from the desired semantic topic.  ...  Compared to the traditional video indexing systems, CBVR systems do not require the intensive human effort in the semantic annotation. In this paper, we propose the PEGASUS system.  ...  In the proposed search system, we have developed an image-based refinement scheme, that analyzes the similarities between the shot key-frames.  ... 
doi:10.1117/12.664318 fatcat:xjfotoiifrb3jjhgvembwbs3ce

UAM at INEX 2012 Relevance Feedback Track: Using a Probabilistic Method for Ranking Refinement

Esaú Villatoro-Tello, Christian Sánchez-Sánchez, Héctor Jiménez-Salazar, Wulfrano Arturo Luna-Ramírez, Carlos Rodríguez-Lucatero
2012 Conference and Labs of the Evaluation Forum  
The presented system focuses on the problem of ranking documents in accordance to their relevance.  ...  It is mainly based on the following hypotheses: (i) current IR machines are able to retrieve relevant documents for most of general queries, but they can not generate a pertinent ranking; and (ii) focused  ...  Also known as the problem of Ranking Refinement. 6 Keep in mind that irrelevant documents will be similar to the query in some degree since such documents were obtained by an IR system through that query  ... 
dblp:conf/clef/Villatoro-TelloSJLR12 fatcat:4ynq2p57ynejragyuacckqnkom

AN EFFICIENT INFORMATION RETRIEVAL ONTOLOGY SYSTEM BASED INDEXING FOR CONTEXT

G.Krishna Raju .
2015 International Journal of Research in Engineering and Technology  
When the user enter the keyword to the system, the ontology makes the several steps to make the refine keywords.  ...  Finally, the refine keywords are matched with index and relevant contexts are retrieved.  ...  It reveals that the proposed system works fine in the similarity measure process.  ... 
doi:10.15623/ijret.2015.0405082 fatcat:5htjg7mgifdy3kk3m56aesrixy
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