Predigest Watson's visual model as perceptual hashing method

Hui Zhang; Haibin Zhang; Qiong Li; Xiamu Niu

doi:10.1109/ICCIT.2008.12

Predigest Watson's visual model as perceptual hashing method

Hui Zhang, Haibin Zhang, Qiong Li, Xiamu Niu

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

6 Citations (Scopus)

Abstract

HVS (human visual system) has been widely used to evaluate image quality over the past three decades, which provided a good simulation on the image cognitive processing of human vision system. As a newly developing technology, perceptual hashing need to take the perception information into account during the feature extraction stage, and then code them into a short digest. In this paper, we present a new image perceptual hashing method by predigesting the well-known Watson's visual model. By comparing with the Watson's visual model and other perceptual hashing method, our new method takes sufficient perception information into account and has better performance of robustness and discriminability.

Original language	English
Title of host publication	Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
Pages	617-620
Number of pages	4
Volume	2
DOIs	https://doi.org/10.1109/ICCIT.2008.12
Publication status	Published - 2008
Event	3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008 - Busan, Korea, Republic of Duration: 11 Nov 2008 → 13 Nov 2008

Other

Other	3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
Country/Territory	Korea, Republic of
City	Busan
Period	11/11/08 → 13/11/08

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10.1109/ICCIT.2008.12

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title = "Predigest Watson's visual model as perceptual hashing method",

abstract = "HVS (human visual system) has been widely used to evaluate image quality over the past three decades, which provided a good simulation on the image cognitive processing of human vision system. As a newly developing technology, perceptual hashing need to take the perception information into account during the feature extraction stage, and then code them into a short digest. In this paper, we present a new image perceptual hashing method by predigesting the well-known Watson's visual model. By comparing with the Watson's visual model and other perceptual hashing method, our new method takes sufficient perception information into account and has better performance of robustness and discriminability.",

author = "Hui Zhang and Haibin Zhang and Qiong Li and Xiamu Niu",

year = "2008",

doi = "10.1109/ICCIT.2008.12",

language = "English",

isbn = "9780769534077",

volume = "2",

pages = "617--620",

booktitle = "Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008",

note = "3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008 ; Conference date: 11-11-2008 Through 13-11-2008",

}

Zhang, H, Zhang, H, Li, Q & Niu, X 2008, Predigest Watson's visual model as perceptual hashing method. in Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008. vol. 2, 4682312, pp. 617-620, 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008, Busan, Korea, Republic of, 11/11/08. https://doi.org/10.1109/ICCIT.2008.12

TY - GEN

T1 - Predigest Watson's visual model as perceptual hashing method

AU - Zhang, Hui

AU - Zhang, Haibin

AU - Li, Qiong

AU - Niu, Xiamu

PY - 2008

Y1 - 2008

N2 - HVS (human visual system) has been widely used to evaluate image quality over the past three decades, which provided a good simulation on the image cognitive processing of human vision system. As a newly developing technology, perceptual hashing need to take the perception information into account during the feature extraction stage, and then code them into a short digest. In this paper, we present a new image perceptual hashing method by predigesting the well-known Watson's visual model. By comparing with the Watson's visual model and other perceptual hashing method, our new method takes sufficient perception information into account and has better performance of robustness and discriminability.

AB - HVS (human visual system) has been widely used to evaluate image quality over the past three decades, which provided a good simulation on the image cognitive processing of human vision system. As a newly developing technology, perceptual hashing need to take the perception information into account during the feature extraction stage, and then code them into a short digest. In this paper, we present a new image perceptual hashing method by predigesting the well-known Watson's visual model. By comparing with the Watson's visual model and other perceptual hashing method, our new method takes sufficient perception information into account and has better performance of robustness and discriminability.

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U2 - 10.1109/ICCIT.2008.12

DO - 10.1109/ICCIT.2008.12

M3 - Conference proceeding contribution

AN - SCOPUS:57849137397

SN - 9780769534077

VL - 2

SP - 617

EP - 620

BT - Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008

T2 - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008

Y2 - 11 November 2008 through 13 November 2008

ER -

Predigest Watson's visual model as perceptual hashing method

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