Semantic retrieval by spatial relationships

Kent K. T. Cheung; Horace H. S. Ip

doi:10.1109/ICPR.2002.1047784

Semantic retrieval by spatial relationships

Kent K. T. Cheung, Horace H. S. Ip

Department of Computer Science

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

2 Citations (Scopus)

Abstract

A novel spatial representation of image objects is presented for efficient image retrieval based on spatial relationships. Using our new representation, fast indexing and matching of images by spatial relationships can be accomplished. Our approach takes care of the special requirements for Content-based Image Retrieval (CBIR) as compared to existing spatial representation schemes. Experiments demonstrated the feasibility of semantic spatial retrieval using the proposed spatial representation in CBIR. © 2002 IEEE.

Original language	English
Pages (from-to)	16-19
Journal	Proceedings - International Conference on Pattern Recognition
Volume	16
Issue number	3
DOIs	https://doi.org/10.1109/ICPR.2002.1047784
Publication status	Published - 2002

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title = "Semantic retrieval by spatial relationships",

abstract = "A novel spatial representation of image objects is presented for efficient image retrieval based on spatial relationships. Using our new representation, fast indexing and matching of images by spatial relationships can be accomplished. Our approach takes care of the special requirements for Content-based Image Retrieval (CBIR) as compared to existing spatial representation schemes. Experiments demonstrated the feasibility of semantic spatial retrieval using the proposed spatial representation in CBIR. {\textcopyright} 2002 IEEE.",

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year = "2002",

doi = "10.1109/ICPR.2002.1047784",

language = "English",

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AU - Cheung, Kent K. T.

AU - Ip, Horace H. S.

PY - 2002

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AB - A novel spatial representation of image objects is presented for efficient image retrieval based on spatial relationships. Using our new representation, fast indexing and matching of images by spatial relationships can be accomplished. Our approach takes care of the special requirements for Content-based Image Retrieval (CBIR) as compared to existing spatial representation schemes. Experiments demonstrated the feasibility of semantic spatial retrieval using the proposed spatial representation in CBIR. © 2002 IEEE.

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U2 - 10.1109/ICPR.2002.1047784

DO - 10.1109/ICPR.2002.1047784

M3 - RGC 22 - Publication in policy or professional journal

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VL - 16

SP - 16

EP - 19

JO - Proceedings - International Conference on Pattern Recognition

JF - Proceedings - International Conference on Pattern Recognition

IS - 3

ER -

Semantic retrieval by spatial relationships

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