Automatic synchronized browsing of images across multiple devices

Zhigang Hua; Xing Xie; Hanqing Lu; Wei-Ying Ma

doi:10.1007/978-3-540-30542-2_87

Automatic synchronized browsing of images across multiple devices

Zhigang Hua
, Xing Xie
, Hanqing Lu
, Wei-Ying Ma

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

2 Citations (Scopus)

Abstract

Mobile devices are undergoing considerable progress during recent years. Using these portable devices, people can easily capture and share photos even when they are on the move. Doubtlessly, browsing a large number of images on such small-form-factor devices is still hard and time-consuming, especially when they are distributed across various devices. In this paper, we propose a novel synchronized approach to facilitate image browsing across multiple devices. In this approach, similar images across multiple devices can be simultaneously presented for users to make comparatively viewing or searching. Experimental results show that the synchronized approach is beneficial to improve users' browsing experience. © Springer-Verlag Berlin Heidelberg 2004.

Original language	English
Pages (from-to)	704-711
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3332
DOIs	https://doi.org/10.1007/978-3-540-30542-2_87
Publication status	Published - 2004
Externally published	Yes

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].

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@article{109ef98b76ce4fe19ea7fd59515fabe9,

title = "Automatic synchronized browsing of images across multiple devices",

abstract = "Mobile devices are undergoing considerable progress during recent years. Using these portable devices, people can easily capture and share photos even when they are on the move. Doubtlessly, browsing a large number of images on such small-form-factor devices is still hard and time-consuming, especially when they are distributed across various devices. In this paper, we propose a novel synchronized approach to facilitate image browsing across multiple devices. In this approach, similar images across multiple devices can be simultaneously presented for users to make comparatively viewing or searching. Experimental results show that the synchronized approach is beneficial to improve users' browsing experience. {\textcopyright} Springer-Verlag Berlin Heidelberg 2004.",

author = "Zhigang Hua and Xing Xie and Hanqing Lu 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].",

year = "2004",

doi = "10.1007/978-3-540-30542-2\_87",

language = "English",

volume = "3332",

pages = "704--711",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

}

Automatic synchronized browsing of images across multiple devices. / Hua, Zhigang; Xie, Xing; Lu, Hanqing et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3332, 2004, p. 704-711.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

TY - JOUR

T1 - Automatic synchronized browsing of images across multiple devices

AU - Hua, Zhigang

AU - Xie, Xing

AU - Lu, Hanqing

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 - 2004

Y1 - 2004

N2 - Mobile devices are undergoing considerable progress during recent years. Using these portable devices, people can easily capture and share photos even when they are on the move. Doubtlessly, browsing a large number of images on such small-form-factor devices is still hard and time-consuming, especially when they are distributed across various devices. In this paper, we propose a novel synchronized approach to facilitate image browsing across multiple devices. In this approach, similar images across multiple devices can be simultaneously presented for users to make comparatively viewing or searching. Experimental results show that the synchronized approach is beneficial to improve users' browsing experience. © Springer-Verlag Berlin Heidelberg 2004.

AB - Mobile devices are undergoing considerable progress during recent years. Using these portable devices, people can easily capture and share photos even when they are on the move. Doubtlessly, browsing a large number of images on such small-form-factor devices is still hard and time-consuming, especially when they are distributed across various devices. In this paper, we propose a novel synchronized approach to facilitate image browsing across multiple devices. In this approach, similar images across multiple devices can be simultaneously presented for users to make comparatively viewing or searching. Experimental results show that the synchronized approach is beneficial to improve users' browsing experience. © Springer-Verlag Berlin Heidelberg 2004.

UR - https://www.scopus.com/pages/publications/35048844150

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U2 - 10.1007/978-3-540-30542-2_87

DO - 10.1007/978-3-540-30542-2_87

M3 - RGC 21 - Publication in refereed journal

SN - 0302-9743

VL - 3332

SP - 704

EP - 711

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Automatic synchronized browsing of images across multiple devices

Abstract

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