Integrating color and spatial features for content-based video retrieval
In this paper, we present a novel and efficient scheme for extracting, indexing and retrieving color images. Our motivation was to reduce the space overhead of partition-based approaches taking advantage of the fact that only a relatively low number of distinct values of a particular visual feature...
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sg-smu-ink.sis_research-75372022-01-10T03:46:34Z Integrating color and spatial features for content-based video retrieval LIN, Tong NGO, Chong-wah ZHANG, Hong-Jiang SHI, Qing-Yun In this paper, we present a novel and efficient scheme for extracting, indexing and retrieving color images. Our motivation was to reduce the space overhead of partition-based approaches taking advantage of the fact that only a relatively low number of distinct values of a particular visual feature is present in most images. To extract color feature and build indices into our image database we take into consideration factors such as human color perception and perceptual range, and the image is partitioned into a set of regions by using a simple classifying scheme. The compact color feature vector and the spatial color histogram, which are extracted from the seqmented image region, are used for representing the color and spatial information in the image. We have also developed the region-based distance measures to compare the similarity of two images. Extensive tests on a large image collection were conducted to demonstrate the effectiveness of the proposed approach. 2001-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6534 info:doi/10.1109/ICIP.2001.958188 https://ink.library.smu.edu.sg/context/sis_research/article/7537/viewcontent/icip01.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Graphics and Human Computer Interfaces |
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Computer Sciences Graphics and Human Computer Interfaces LIN, Tong NGO, Chong-wah ZHANG, Hong-Jiang SHI, Qing-Yun Integrating color and spatial features for content-based video retrieval |
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In this paper, we present a novel and efficient scheme for extracting, indexing and retrieving color images. Our motivation was to reduce the space overhead of partition-based approaches taking advantage of the fact that only a relatively low number of distinct values of a particular visual feature is present in most images. To extract color feature and build indices into our image database we take into consideration factors such as human color perception and perceptual range, and the image is partitioned into a set of regions by using a simple classifying scheme. The compact color feature vector and the spatial color histogram, which are extracted from the seqmented image region, are used for representing the color and spatial information in the image. We have also developed the region-based distance measures to compare the similarity of two images. Extensive tests on a large image collection were conducted to demonstrate the effectiveness of the proposed approach. |
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text |
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LIN, Tong NGO, Chong-wah ZHANG, Hong-Jiang SHI, Qing-Yun |
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LIN, Tong NGO, Chong-wah ZHANG, Hong-Jiang SHI, Qing-Yun |
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LIN, Tong |
title |
Integrating color and spatial features for content-based video retrieval |
title_short |
Integrating color and spatial features for content-based video retrieval |
title_full |
Integrating color and spatial features for content-based video retrieval |
title_fullStr |
Integrating color and spatial features for content-based video retrieval |
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Integrating color and spatial features for content-based video retrieval |
title_sort |
integrating color and spatial features for content-based video retrieval |
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Institutional Knowledge at Singapore Management University |
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2001 |
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https://ink.library.smu.edu.sg/sis_research/6534 https://ink.library.smu.edu.sg/context/sis_research/article/7537/viewcontent/icip01.pdf |
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