中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Constructing Visual Phrases for Effective and Efficient Object-Based Image Retrieval

文献类型:期刊论文

作者Zheng, Qing-Fang; Gao, Wen
刊名ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
出版日期2008-10-01
卷号5期号:1页码:19
关键词Algorithms Experimentation Performance Content-based image retrieval inverted index local image descriptor SIFT object-based image retrieval visual phrase
ISSN号1551-6857
DOI10.1145/1404880.1404887
英文摘要The explosion of multimedia data necessitates effective and efficient ways for us to get access to our desired ones. In this article, we draw an analogy between image retrieval and text retrieval and propose a visual phrase-based approach to retrieve images containing desired objects (object-based image retrieval). The visual phrase is defined as a pair of frequently co-occurred adjacent local image patches and is constructed using data mining. We design methods on how to construct visual phrase and how to index/search images based on visual phrase. We demonstrate experiments to show our visual phrase-based approach can be very efficient and more effective than current visual word-based approach.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000261155700007
出版者ASSOC COMPUTING MACHINERY
源URL[http://119.78.100.204/handle/2XEOYT63/11271]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zheng, Qing-Fang
作者单位Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zheng, Qing-Fang,Gao, Wen. Constructing Visual Phrases for Effective and Efficient Object-Based Image Retrieval[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2008,5(1):19.
APA Zheng, Qing-Fang,&Gao, Wen.(2008).Constructing Visual Phrases for Effective and Efficient Object-Based Image Retrieval.ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,5(1),19.
MLA Zheng, Qing-Fang,et al."Constructing Visual Phrases for Effective and Efficient Object-Based Image Retrieval".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 5.1(2008):19.

入库方式: OAI收割

来源:计算技术研究所

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