Study on Feedback Noise and Suppression Algorithm in Image Semantic Retrieval

doi:10.11925/infotech.1003-3513.2007.10.10

New Technology of Library and Information Service

2007, Vol. 2

Issue (10): 42-46 DOI: 10.11925/infotech.1003-3513.2007.10.10

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Study on Feedback Noise and Suppression Algorithm in Image Semantic Retrieval

Wang Nan Zhao Pengwei Dou Yongxiang Qin Chunxiu Zhao Fei

(School of Economy and Management, Xidian University, Xi’an 710071，China)

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Abstract

Feedback noise in image semantic retrieval is a key issue in this paper. Firstly, the bad effect of feedback noise on the semantic network method is analysed. After that, an algorithm of relevance feedback based on voting idea is proposed, which is robust to feedback noise. Then an analysis is made on the performance of the proposed algorithm. Finally, further study issues are pointed out.

Key words： Image semantic retrieval Relevance feedback Feedback noise Voting idea Semantic matrix

Received: 20 August 2007 Published: 25 October 2007

ZTFLH:

TP391

Corresponding Authors: Wang Nan E-mail: wn1943@126.com

About author:: Wang Nan,Zhao Pengwei,Dou Yongxiang,Qin Chunxiu,Zhao Fei

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Cite this article:

Wang Nan,Zhao Pengwei,Dou Yongxiang,Qin Chunxiu,Zhao Fei. Study on Feedback Noise and Suppression Algorithm in Image Semantic Retrieval. New Technology of Library and Information Service, 2007, 2(10): 42-46.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.10.10 OR http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I10/42

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