Low memory implementation of saliency map using strip-based method

Christopher Wing Hong Ngau; Li Minn Ang; Kah Phooi Seng

doi:10.1007/978-3-642-05036-7_68

Low memory implementation of saliency map using strip-based method

Christopher Wing Hong Ngau, Li Minn Ang, Kah Phooi Seng

Materials and Manufacturing Engineering

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

1 Citation (Scopus)

Abstract

Works in the area of visual saliency are expanding rapidly where visual salience is beginning to find importance in many multimedia and object detection applications. The core of the visual saliency models is the saliency map where information from various features such as intensity, colour, and orientation are encoded onto a single master map. However, the required amount of memory to hold the related maps in the computation of the saliency map is large. This could be seen as a potential complication in hardware constrained environment. In this paper, a low memory implementation of a saliency map using strip-based method is proposed. Simulation results showed that the strip-based method is able to provide a reasonable saliency map while keeping the memory requirements low.

Original language	English
Title of host publication	Visual Informatics
Subtitle of host publication	Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings
Pages	715-726
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-05036-7_68
Publication status	Published - 2009
Externally published	Yes
Event	1st International Visual Informatics Conference, IVIC 2009 - Kuala Lumpur, Malaysia Duration: 11 Nov 2009 → 13 Nov 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5857 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Visual Informatics Conference, IVIC 2009
Country/Territory	Malaysia
City	Kuala Lumpur
Period	11/11/09 → 13/11/09

Keywords

Hierarchical wavelet decomposition
Le Gall 5/3
Low memory
Saliency map
Strip-based method
Visual saliency

Access to Document

10.1007/978-3-642-05036-7_68

Cite this

Ngau, C. W. H., Ang, L. M., & Seng, K. P. (2009). Low memory implementation of saliency map using strip-based method. In Visual Informatics: Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings (pp. 715-726). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5857 LNCS). https://doi.org/10.1007/978-3-642-05036-7_68

Ngau, Christopher Wing Hong ; Ang, Li Minn ; Seng, Kah Phooi. / Low memory implementation of saliency map using strip-based method. Visual Informatics: Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings. 2009. pp. 715-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Works in the area of visual saliency are expanding rapidly where visual salience is beginning to find importance in many multimedia and object detection applications. The core of the visual saliency models is the saliency map where information from various features such as intensity, colour, and orientation are encoded onto a single master map. However, the required amount of memory to hold the related maps in the computation of the saliency map is large. This could be seen as a potential complication in hardware constrained environment. In this paper, a low memory implementation of a saliency map using strip-based method is proposed. Simulation results showed that the strip-based method is able to provide a reasonable saliency map while keeping the memory requirements low.",

keywords = "Hierarchical wavelet decomposition, Le Gall 5/3, Low memory, Saliency map, Strip-based method, Visual saliency",

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Ngau, CWH, Ang, LM & Seng, KP 2009, Low memory implementation of saliency map using strip-based method. in Visual Informatics: Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5857 LNCS, pp. 715-726, 1st International Visual Informatics Conference, IVIC 2009, Kuala Lumpur, Malaysia, 11/11/09. https://doi.org/10.1007/978-3-642-05036-7_68

Low memory implementation of saliency map using strip-based method. / Ngau, Christopher Wing Hong; Ang, Li Minn; Seng, Kah Phooi.
Visual Informatics: Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings. 2009. p. 715-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5857 LNCS).

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

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AB - Works in the area of visual saliency are expanding rapidly where visual salience is beginning to find importance in many multimedia and object detection applications. The core of the visual saliency models is the saliency map where information from various features such as intensity, colour, and orientation are encoded onto a single master map. However, the required amount of memory to hold the related maps in the computation of the saliency map is large. This could be seen as a potential complication in hardware constrained environment. In this paper, a low memory implementation of a saliency map using strip-based method is proposed. Simulation results showed that the strip-based method is able to provide a reasonable saliency map while keeping the memory requirements low.

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Ngau CWH, Ang LM, Seng KP. Low memory implementation of saliency map using strip-based method. In Visual Informatics: Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings. 2009. p. 715-726. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-05036-7_68

Low memory implementation of saliency map using strip-based method

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Keywords

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