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
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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 |
DOI | 10.1145/1404880.1404887 |
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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