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ITS » Undergraduate Theses » Teknik Informatika Ekstensi - S1
Posted by hassane at 19/01/2010 13:53:14  •  3046 Views


PENERAPAN DAN ANALISIS KONSEP A UNIFIED LOG BASED RELEVANCE FEEDBACK PADA IMAGE RETRIEVAL

A UNIFIED LOG BASED RELEVANCE FEEDBACK FOR IMAGE RETRIEVAL

Author :
CAHYONO, HASAN DWI 




ABSTRAK

Relevance feedback telah tampil sebagai konsep yang tangguh untuk mendorong kinerja retrieval pada content based image retrieval CBIR. Di masa lalu kebanyakan penelitian pada bidang ini terfokus pada desain algoritma yang efektif pada traditional relevance feedback. Bahwasanya CBIR dapat menghimpun dan menyimpan informasi relevance feedback dari user pada sebuah history log sebuah image retrieval system seharusnya mampu untuk mengunakan log data feedback tersebut untuk meningkatkan retrieval performance nya. Dalam Tugas Akhir ini akan dibuat sebuah unified framework untuk log based relevance feedback yang mengintegrasikan log dari feedback data kedalam konsep traditional relevance scheme untuk mempelajari secara tepat korelasi antara low level image features dan high level concepts. Sebagai hasil akhir dari sistem ini adalah kumpulan image yang memiliki kesesuaian dengan query user.


ABSTRACT

Relevance feedback has emerged as a powerful tool to boost the retrieval performance in content based image retrieval CBIR. In the past most research efforts in this field have focused on designing effective algoritms for traditional retrieval feedback. Given that a CBIR system can collect and store users relevance feedback information in a history log an image retrieval system should be able to take advantage of the log data of users relevance feedback to enhance its retrieval performance. In this final project the author proposes a unified framework for log based relevance feedback that integrates the log of feedback data into the traditional relevance feedback schemes to learn effectively the correlation between low level features and high level concepts. For the results of the systems are set of images which has similarity based on users query.



KeywordsFeedBack ; Image Retrieval
 
Subject:  ...
Contributor
  1. Esther Hanaya, M. Sc
    Darlis Heru M., S. Kom
Date Create: 01/01/2007
Type: Text
Language: Indonesian
Identifier: ITS-Undergraduate-3100007029002
Collection ID: 3100007029002
Call Number: RSIf 005.12 Cah p


Source
Undergraduate Theses of Informatics Engineering, RSIf 005.12 Cah p, 2007

Rights
Copyright @2007 by ITS Library. This publication is protected by copyright and permission should be obtained from the ITS Library prior to any prohibited reproduction, storage in a retrievel system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permission(s), write to ITS Library




[ Download - Open Access ]

  1.  ITS-Undergraduate-8289-5104109616-kesimpulan.pdf - 100 KB




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