Water reflection recognition via minimizing reflection cost based on motion blur invariant moments

Sheng Hua Zhong; Yan Liu; Ling Shao; Fu Lai Korris Chung

doi:10.1145/1991996.1992001

Water reflection recognition via minimizing reflection cost based on motion blur invariant moments

Sheng Hua Zhong, Yan Liu, Ling Shao, Fu Lai Korris Chung

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

Water reflection, a kind of typical imperfect reflection symmetry problem, plays an important role in image content analysis. However, existing techniques of symmetry recognition cannot recognize water reflection images correctly because of the complex and various distortions caused by water wave. To address this difficulty, we construct a novel feature space which is composed of motion blur invariant moments. Moreover, we propose an efficient detection algorithm to determine the reflection axis in images with water reflection. By experimenting on real image dataset with different tasks, the proposed techniques demonstrate impressive results in the water reflection image classification, the reflection axis detection, and the retrieval of the images with water reflection.

Original language	English
Title of host publication	Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR'11
DOIs	https://doi.org/10.1145/1991996.1992001
Publication status	Published - 4 Jul 2011
Event	1st ACM International Conference on Multimedia Retrieval, ICMR'11 - Trento, Italy Duration: 18 Apr 2011 → 20 Apr 2011

Conference

Conference	1st ACM International Conference on Multimedia Retrieval, ICMR'11
Country/Territory	Italy
City	Trento
Period	18/04/11 → 20/04/11

Keywords

imperfect symmetry
moment invariants
motion blur
reflection axis detection
water reflection

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Human-Computer Interaction
Software

More information

10.1145/1991996.1992001

Cite this

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title = "Water reflection recognition via minimizing reflection cost based on motion blur invariant moments",

abstract = "Water reflection, a kind of typical imperfect reflection symmetry problem, plays an important role in image content analysis. However, existing techniques of symmetry recognition cannot recognize water reflection images correctly because of the complex and various distortions caused by water wave. To address this difficulty, we construct a novel feature space which is composed of motion blur invariant moments. Moreover, we propose an efficient detection algorithm to determine the reflection axis in images with water reflection. By experimenting on real image dataset with different tasks, the proposed techniques demonstrate impressive results in the water reflection image classification, the reflection axis detection, and the retrieval of the images with water reflection.",

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Water reflection recognition via minimizing reflection cost based on motion blur invariant moments. / Zhong, Sheng Hua; Liu, Yan; Shao, Ling et al.

Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR'11. 2011.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - Water reflection, a kind of typical imperfect reflection symmetry problem, plays an important role in image content analysis. However, existing techniques of symmetry recognition cannot recognize water reflection images correctly because of the complex and various distortions caused by water wave. To address this difficulty, we construct a novel feature space which is composed of motion blur invariant moments. Moreover, we propose an efficient detection algorithm to determine the reflection axis in images with water reflection. By experimenting on real image dataset with different tasks, the proposed techniques demonstrate impressive results in the water reflection image classification, the reflection axis detection, and the retrieval of the images with water reflection.

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KW - moment invariants

KW - motion blur

KW - reflection axis detection

KW - water reflection

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M3 - Conference article published in proceeding or book

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Water reflection recognition via minimizing reflection cost based on motion blur invariant moments

Abstract

Conference

Keywords

ASJC Scopus subject areas

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