Inquiring of the sights from the web via camera mobiles

Yinghua Zhou; Xin Fan; Xing Xie; Yuchang Gong; Wei-Ying Ma

doi:10.1109/ICME.2006.262532

Inquiring of the sights from the web via camera mobiles

Yinghua Zhou
, Xin Fan
, Xing Xie
, Yuchang Gong
, Wei-Ying Ma

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

10 Citations (Scopus)

Abstract

In this paper, we presented an image search service for mobile users. It can be used to acquire related information by taking and sending pictures to the server, for example, getting book reviews by a photo of the cover. The key problem here is to find images that contain the same prominent object as that in the query image. In the literature, local feature based image matching has been proven to outperform those based on global features. When using local features, however, one query image may contain thousands of high dimensional feature vectors. Each feature vector needs to match against millions of features in the database. Therefore, it is critical to design an efficient search scheme. Our proposed matching approach was based on identifying semi-local visual parts from multiple query images. Experiments on two real-world datasets showed that this approach was superior to conventional solutions. © 2006 IEEE.

Original language	English
Title of host publication	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Pages	661-664
Volume	2006
DOIs	https://doi.org/10.1109/ICME.2006.262532
Publication status	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada Duration: 9 Jul 2006 → 12 Jul 2006

Publication series

Name	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Volume	2006

Conference

Conference	2006 IEEE International Conference on Multimedia and Expo, ICME 2006
Place	Canada
City	Toronto, ON
Period	9/07/06 → 12/07/06

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1109/ICME.2006.262532

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Zhou, Y., Fan, X., Xie, X., Gong, Y., & Ma, W.-Y. (2006). Inquiring of the sights from the web via camera mobiles. In 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings (Vol. 2006, pp. 661-664). Article 4036686 (2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings; Vol. 2006). https://doi.org/10.1109/ICME.2006.262532

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title = "Inquiring of the sights from the web via camera mobiles",

abstract = "In this paper, we presented an image search service for mobile users. It can be used to acquire related information by taking and sending pictures to the server, for example, getting book reviews by a photo of the cover. The key problem here is to find images that contain the same prominent object as that in the query image. In the literature, local feature based image matching has been proven to outperform those based on global features. When using local features, however, one query image may contain thousands of high dimensional feature vectors. Each feature vector needs to match against millions of features in the database. Therefore, it is critical to design an efficient search scheme. Our proposed matching approach was based on identifying semi-local visual parts from multiple query images. Experiments on two real-world datasets showed that this approach was superior to conventional solutions. {\textcopyright} 2006 IEEE.",

author = "Yinghua Zhou and Xin Fan and Xing Xie and Yuchang Gong and Wei-Ying Ma",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 ; Conference date: 09-07-2006 Through 12-07-2006",

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doi = "10.1109/ICME.2006.262532",

language = "English",

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}

Zhou, Y, Fan, X, Xie, X, Gong, Y & Ma, W-Y 2006, Inquiring of the sights from the web via camera mobiles. in 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings. vol. 2006, 4036686, 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings, vol. 2006, pp. 661-664, 2006 IEEE International Conference on Multimedia and Expo, ICME 2006, Toronto, ON, Canada, 9/07/06. https://doi.org/10.1109/ICME.2006.262532

Inquiring of the sights from the web via camera mobiles. / Zhou, Yinghua; Fan, Xin; Xie, Xing et al.
2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings. Vol. 2006 2006. p. 661-664 4036686 (2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings; Vol. 2006).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Fan, Xin

AU - Xie, Xing

AU - Gong, Yuchang

AU - Ma, Wei-Ying

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2006

Y1 - 2006

N2 - In this paper, we presented an image search service for mobile users. It can be used to acquire related information by taking and sending pictures to the server, for example, getting book reviews by a photo of the cover. The key problem here is to find images that contain the same prominent object as that in the query image. In the literature, local feature based image matching has been proven to outperform those based on global features. When using local features, however, one query image may contain thousands of high dimensional feature vectors. Each feature vector needs to match against millions of features in the database. Therefore, it is critical to design an efficient search scheme. Our proposed matching approach was based on identifying semi-local visual parts from multiple query images. Experiments on two real-world datasets showed that this approach was superior to conventional solutions. © 2006 IEEE.

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M3 - RGC 32 - Refereed conference paper (with host publication)

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ER -

Inquiring of the sights from the web via camera mobiles

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

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