APEX - An adaptive Visual Information Retrieval system

被引：0
|
作者：
de Mauro, C [1 ]
Gori, M [1 ]
Maggini, M [1 ]
机构：
[1] Univ Siena, Dipartimento Ingn Informaz, I-53100 Siena, Italy
来源：
SIXTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, PROCEEDINGS | 2001年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Given a user's visual query, most Visual Information Retrieval (VIR) systems rank the images in the database according to a predefined measure of similarity and return the most similar ones. We propose an adaptive VIR system that uses a retrieval process based on relevance feedback in order to learn the similarity criterion from the user. Our system is based on a structured representation of the image which is then processed by a recursive neural network. The search algorithm refines its response trying to minimize the number of steps required to find the target image.
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页码：898 / 902
页数：3
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