Information-based scale saliency methods with wavelet sub-band energy density descriptors

Anh Cat Le Ngo, Li-Minn Ang, Guoping Qiu, Kah Phooi Seng

Research output: Book chapter/Published conference paperConference paper

Abstract

Pixel-based scale saliency (PSS) work bases on information estimation of data content and structure in multiscale analysis; its theoretical aspects as well as practical implementation are discussed by Kadir et al [11]. Scale Saliency framework [10] does not work only for pixels but other basis-projected descriptors as well. While wavelet atoms, localization in both time and frequency domain, are possible alternative descriptors, no theoretical analysis and practical solutions have been proposed yet. Our contribution is introducing a mathematical model of utilizing wavelet-based descriptors in a correspondent Wavelet-based Scale Saliency (WSS). It treats wavelet sub-band energy density of two popular discrete wavelet transform (DWT) and dual-tree complex wavelet transform (DTCWT) as basis descriptors instead of pixel-value descriptors for saliency map estimation. Then, ROC, AUC, and NSS quantitative analysis are comparing WSS against PSS as well as other state-of-the-art saliency methods ITT [9], SUN [18], SRS [8] on N. Bruce’s database [4] with human eye-tracking data as ground-truth. Furthermore, qualitative results, different saliency maps, are analyzed case by case for their pros and cons; especially their short-comings in specific situation or insensible results for human perception.
Original languageEnglish
Title of host publicationLecture notes in computer science
Subtitle of host publication5th Asian Conference on Intelligent Information and Database Systems
Place of PublicationBerlin
PublisherSpringer Heidelberg
Pages366-376
Volume7803
ISBN (Print)9783642365423
DOIs
Publication statusPublished - 2013
Event5th Asian Conference on Intelligent Information and Database Systems: ACIIDS 2013 - Kuala Lumpur, Malaysia, Kuala Lumpur, Malaysia
Duration: 18 Mar 201320 Mar 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
ISSN (Print)0302-9743

Conference

Conference5th Asian Conference on Intelligent Information and Database Systems
CountryMalaysia
CityKuala Lumpur
Period18/03/1320/03/13

Cite this

Ngo, A. C. L., Ang, L-M., Qiu, G., & Seng, K. P. (2013). Information-based scale saliency methods with wavelet sub-band energy density descriptors. In Lecture notes in computer science: 5th Asian Conference on Intelligent Information and Database Systems (Vol. 7803, pp. 366-376). (Lecture Notes in Computer Science). Berlin: Springer Heidelberg. https://doi.org/10.1007/978-3-642-36543-0_38
Ngo, Anh Cat Le ; Ang, Li-Minn ; Qiu, Guoping ; Seng, Kah Phooi. / Information-based scale saliency methods with wavelet sub-band energy density descriptors. Lecture notes in computer science: 5th Asian Conference on Intelligent Information and Database Systems. Vol. 7803 Berlin : Springer Heidelberg, 2013. pp. 366-376 (Lecture Notes in Computer Science).
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title = "Information-based scale saliency methods with wavelet sub-band energy density descriptors",
abstract = "Pixel-based scale saliency (PSS) work bases on information estimation of data content and structure in multiscale analysis; its theoretical aspects as well as practical implementation are discussed by Kadir et al [11]. Scale Saliency framework [10] does not work only for pixels but other basis-projected descriptors as well. While wavelet atoms, localization in both time and frequency domain, are possible alternative descriptors, no theoretical analysis and practical solutions have been proposed yet. Our contribution is introducing a mathematical model of utilizing wavelet-based descriptors in a correspondent Wavelet-based Scale Saliency (WSS). It treats wavelet sub-band energy density of two popular discrete wavelet transform (DWT) and dual-tree complex wavelet transform (DTCWT) as basis descriptors instead of pixel-value descriptors for saliency map estimation. Then, ROC, AUC, and NSS quantitative analysis are comparing WSS against PSS as well as other state-of-the-art saliency methods ITT [9], SUN [18], SRS [8] on N. Bruce’s database [4] with human eye-tracking data as ground-truth. Furthermore, qualitative results, different saliency maps, are analyzed case by case for their pros and cons; especially their short-comings in specific situation or insensible results for human perception.",
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Ngo, ACL, Ang, L-M, Qiu, G & Seng, KP 2013, Information-based scale saliency methods with wavelet sub-band energy density descriptors. in Lecture notes in computer science: 5th Asian Conference on Intelligent Information and Database Systems. vol. 7803, Lecture Notes in Computer Science, Springer Heidelberg, Berlin, pp. 366-376, 5th Asian Conference on Intelligent Information and Database Systems, Kuala Lumpur, Malaysia, 18/03/13. https://doi.org/10.1007/978-3-642-36543-0_38

Information-based scale saliency methods with wavelet sub-band energy density descriptors. / Ngo, Anh Cat Le; Ang, Li-Minn; Qiu, Guoping; Seng, Kah Phooi.

Lecture notes in computer science: 5th Asian Conference on Intelligent Information and Database Systems. Vol. 7803 Berlin : Springer Heidelberg, 2013. p. 366-376 (Lecture Notes in Computer Science).

Research output: Book chapter/Published conference paperConference paper

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AU - Ngo, Anh Cat Le

AU - Ang, Li-Minn

AU - Qiu, Guoping

AU - Seng, Kah Phooi

PY - 2013

Y1 - 2013

N2 - Pixel-based scale saliency (PSS) work bases on information estimation of data content and structure in multiscale analysis; its theoretical aspects as well as practical implementation are discussed by Kadir et al [11]. Scale Saliency framework [10] does not work only for pixels but other basis-projected descriptors as well. While wavelet atoms, localization in both time and frequency domain, are possible alternative descriptors, no theoretical analysis and practical solutions have been proposed yet. Our contribution is introducing a mathematical model of utilizing wavelet-based descriptors in a correspondent Wavelet-based Scale Saliency (WSS). It treats wavelet sub-band energy density of two popular discrete wavelet transform (DWT) and dual-tree complex wavelet transform (DTCWT) as basis descriptors instead of pixel-value descriptors for saliency map estimation. Then, ROC, AUC, and NSS quantitative analysis are comparing WSS against PSS as well as other state-of-the-art saliency methods ITT [9], SUN [18], SRS [8] on N. Bruce’s database [4] with human eye-tracking data as ground-truth. Furthermore, qualitative results, different saliency maps, are analyzed case by case for their pros and cons; especially their short-comings in specific situation or insensible results for human perception.

AB - Pixel-based scale saliency (PSS) work bases on information estimation of data content and structure in multiscale analysis; its theoretical aspects as well as practical implementation are discussed by Kadir et al [11]. Scale Saliency framework [10] does not work only for pixels but other basis-projected descriptors as well. While wavelet atoms, localization in both time and frequency domain, are possible alternative descriptors, no theoretical analysis and practical solutions have been proposed yet. Our contribution is introducing a mathematical model of utilizing wavelet-based descriptors in a correspondent Wavelet-based Scale Saliency (WSS). It treats wavelet sub-band energy density of two popular discrete wavelet transform (DWT) and dual-tree complex wavelet transform (DTCWT) as basis descriptors instead of pixel-value descriptors for saliency map estimation. Then, ROC, AUC, and NSS quantitative analysis are comparing WSS against PSS as well as other state-of-the-art saliency methods ITT [9], SUN [18], SRS [8] on N. Bruce’s database [4] with human eye-tracking data as ground-truth. Furthermore, qualitative results, different saliency maps, are analyzed case by case for their pros and cons; especially their short-comings in specific situation or insensible results for human perception.

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DO - 10.1007/978-3-642-36543-0_38

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T3 - Lecture Notes in Computer Science

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EP - 376

BT - Lecture notes in computer science

PB - Springer Heidelberg

CY - Berlin

ER -

Ngo ACL, Ang L-M, Qiu G, Seng KP. Information-based scale saliency methods with wavelet sub-band energy density descriptors. In Lecture notes in computer science: 5th Asian Conference on Intelligent Information and Database Systems. Vol. 7803. Berlin: Springer Heidelberg. 2013. p. 366-376. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-36543-0_38