Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps

Jieying Wang; Leonel De Melo Joao; Alexandre Falcao; Jiri Kosinka; Alex Telea

doi:10.1007/978-3-031-25477-2_13

Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps

Jieying Wang^*, Leonel De Melo Joao, Alexandre Falcao, Jiri Kosinka, Alex Telea

^*Corresponding author for this work

University of Groningen

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

Abstract

Medial descriptors have attracted increasing interest in image representation, simplification, and compression. Recently, such descriptors have been separately used to (a) increase the local quality of representing salient features in an image and (b) globally compress an entire image via a B-spline encoding. To date, the two desiderates, (a) high local quality and (b) high overall compression of images, have not been addressed by a single medial method. We achieve this integration by presenting Spatial Saliency Spline Dense Medial Descriptors (3S-DMD) for saliency-aware image simplification-and-compression. Our method significantly improves the trade-off between compression and image quality of earlier medial-based methods while keeping perceptually salient features. We also demonstrate the added-value of user-designed, as compared to automatically-computed, saliency maps. We show that our method achieves both higher compression and better quality than JPEG for a broad range of images and, for specific image types, yields higher compression and similar quality than JPEG 2000.

Original language	English
Title of host publication	Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Revised Selected Papers
Subtitle of host publication	16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8–10, 2021, Revised Selected Papers
Editors	A. Augusto de Sousa, Vlastimil Havran, Alexis Paljic, Tabitha Peck, Christophe Hurter, Helen Purchase, Helen Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch
Publisher	Springer
Pages	279-302
Number of pages	24
Edition	1
ISBN (Electronic)	978-3-031-25477-2
ISBN (Print)	978-3-031-25476-5
DOIs	https://doi.org/10.1007/978-3-031-25477-2_13
Publication status	Published - 2 Feb 2023

Publication series

Name	Communications in Computer and Information Science
Volume	1691 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Bibliographical note

Funding Information:
Acknowledgments. The first author acknowledges the China Scholarship Council (Grant number: 201806320354) for financial support.

Publisher Copyright:
© 2023, Springer Nature Switzerland AG.

Keywords

Medial descriptors
Saliency maps
B-splines
Image simplification
Image compression

Access to Document

10.1007/978-3-031-25477-2_13

978-3-031-25477-2_13Final published version, 10.1 MBLicence: Taverne

Cite this

Wang, J., De Melo Joao, L., Falcao, A., Kosinka, J., & Telea, A. (2023). Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps. In A. A. de Sousa, V. Havran, A. Paljic, T. Peck, C. Hurter, H. Purchase, H. Purchase, G. M. Farinella, P. Radeva, & K. Bouatouch (Eds.), Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Revised Selected Papers: 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8–10, 2021, Revised Selected Papers (1 ed., pp. 279-302). (Communications in Computer and Information Science; Vol. 1691 CCIS). Springer. https://doi.org/10.1007/978-3-031-25477-2_13

Wang, Jieying ; De Melo Joao, Leonel ; Falcao, Alexandre et al. / Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps. Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Revised Selected Papers: 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8–10, 2021, Revised Selected Papers. editor / A. Augusto de Sousa ; Vlastimil Havran ; Alexis Paljic ; Tabitha Peck ; Christophe Hurter ; Helen Purchase ; Helen Purchase ; Giovanni Maria Farinella ; Petia Radeva ; Kadi Bouatouch. 1. ed. Springer, 2023. pp. 279-302 (Communications in Computer and Information Science).

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title = "Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps",

abstract = "Medial descriptors have attracted increasing interest in image representation, simplification, and compression. Recently, such descriptors have been separately used to (a) increase the local quality of representing salient features in an image and (b) globally compress an entire image via a B-spline encoding. To date, the two desiderates, (a) high local quality and (b) high overall compression of images, have not been addressed by a single medial method. We achieve this integration by presenting Spatial Saliency Spline Dense Medial Descriptors (3S-DMD) for saliency-aware image simplification-and-compression. Our method significantly improves the trade-off between compression and image quality of earlier medial-based methods while keeping perceptually salient features. We also demonstrate the added-value of user-designed, as compared to automatically-computed, saliency maps. We show that our method achieves both higher compression and better quality than JPEG for a broad range of images and, for specific image types, yields higher compression and similar quality than JPEG 2000.",

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Wang, J, De Melo Joao, L, Falcao, A, Kosinka, J & Telea, A 2023, Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps. in AA de Sousa, V Havran, A Paljic, T Peck, C Hurter, H Purchase, H Purchase, GM Farinella, P Radeva & K Bouatouch (eds), Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Revised Selected Papers: 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8–10, 2021, Revised Selected Papers. 1 edn, Communications in Computer and Information Science, vol. 1691 CCIS, Springer, pp. 279-302. https://doi.org/10.1007/978-3-031-25477-2_13

Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps. / Wang, Jieying; De Melo Joao, Leonel; Falcao, Alexandre et al.
Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Revised Selected Papers: 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8–10, 2021, Revised Selected Papers. ed. / A. Augusto de Sousa; Vlastimil Havran; Alexis Paljic; Tabitha Peck; Christophe Hurter; Helen Purchase; Helen Purchase; Giovanni Maria Farinella; Petia Radeva; Kadi Bouatouch. 1. ed. Springer, 2023. p. 279-302 (Communications in Computer and Information Science; Vol. 1691 CCIS).

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

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AU - Telea, Alex

N1 - Funding Information: Acknowledgments. The first author acknowledges the China Scholarship Council (Grant number: 201806320354) for financial support. Publisher Copyright: © 2023, Springer Nature Switzerland AG.

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N2 - Medial descriptors have attracted increasing interest in image representation, simplification, and compression. Recently, such descriptors have been separately used to (a) increase the local quality of representing salient features in an image and (b) globally compress an entire image via a B-spline encoding. To date, the two desiderates, (a) high local quality and (b) high overall compression of images, have not been addressed by a single medial method. We achieve this integration by presenting Spatial Saliency Spline Dense Medial Descriptors (3S-DMD) for saliency-aware image simplification-and-compression. Our method significantly improves the trade-off between compression and image quality of earlier medial-based methods while keeping perceptually salient features. We also demonstrate the added-value of user-designed, as compared to automatically-computed, saliency maps. We show that our method achieves both higher compression and better quality than JPEG for a broad range of images and, for specific image types, yields higher compression and similar quality than JPEG 2000.

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Wang J, De Melo Joao L, Falcao A, Kosinka J, Telea A. Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps. In de Sousa AA, Havran V, Paljic A, Peck T, Hurter C, Purchase H, Purchase H, Farinella GM, Radeva P, Bouatouch K, editors, Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Revised Selected Papers: 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8–10, 2021, Revised Selected Papers. 1 ed. Springer. 2023. p. 279-302. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-25477-2_13

Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps

Abstract

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Keywords

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