OTC: A novel local descriptor for scene classification

Ran Margolin; Lihi Zelnik-Manor; Ayellet Tal

doi:https://doi.org/10.1007/978-3-319-10584-0_25

OTC: A novel local descriptor for scene classification

Ran Margolin, Lihi Zelnik-Manor, Ayellet Tal

Technion - Israel Institute of Technology

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

Abstract

Scene classification is the task of determining the scene type in which a photograph was taken. In this paper we present a novel local descriptor suited for such a task: Oriented Texture Curves (OTC). Our descriptor captures the texture of a patch along multiple orientations, while maintaining robustness to illumination changes, geometric distortions and local contrast differences. We show that our descriptor outperforms all state-of-the-art descriptors for scene classification algorithms on the most extensive scene classification benchmark to-date.

Original language	English
Title of host publication	Computer Vision, ECCV 2014 - 13th European Conference, Proceedings
Pages	377-391
Number of pages	15
Edition	PART 7
DOIs	https://doi.org/10.1007/978-3-319-10584-0_25
State	Published - 2014
Event	13th European Conference on Computer Vision, ECCV 2014 - Zurich, Switzerland Duration: 6 Sep 2014 → 12 Sep 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 7
Volume	8695 LNCS

Conference

Conference	13th European Conference on Computer Vision, ECCV 2014
Country/Territory	Switzerland
City	Zurich
Period	6/09/14 → 12/09/14

Keywords

local descriptor
scene classification
scene recognition

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

https://doi.org/10.1007/978-3-319-10584-0_25

Cite this

Margolin, R., Zelnik-Manor, L., & Tal, A. (2014). OTC: A novel local descriptor for scene classification. In Computer Vision, ECCV 2014 - 13th European Conference, Proceedings (PART 7 ed., pp. 377-391). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8695 LNCS, No. PART 7). https://doi.org/10.1007/978-3-319-10584-0_25

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title = "OTC: A novel local descriptor for scene classification",

abstract = "Scene classification is the task of determining the scene type in which a photograph was taken. In this paper we present a novel local descriptor suited for such a task: Oriented Texture Curves (OTC). Our descriptor captures the texture of a patch along multiple orientations, while maintaining robustness to illumination changes, geometric distortions and local contrast differences. We show that our descriptor outperforms all state-of-the-art descriptors for scene classification algorithms on the most extensive scene classification benchmark to-date.",

keywords = "local descriptor, scene classification, scene recognition",

author = "Ran Margolin and Lihi Zelnik-Manor and Ayellet Tal",

year = "2014",

doi = "https://doi.org/10.1007/978-3-319-10584-0_25",

language = "الإنجليزيّة",

isbn = "9783319105833",

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

number = "PART 7",

pages = "377--391",

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Margolin, R, Zelnik-Manor, L & Tal, A 2014, OTC: A novel local descriptor for scene classification. in Computer Vision, ECCV 2014 - 13th European Conference, Proceedings. PART 7 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 7, vol. 8695 LNCS, pp. 377-391, 13th European Conference on Computer Vision, ECCV 2014, Zurich, Switzerland, 6/09/14. https://doi.org/10.1007/978-3-319-10584-0_25

OTC: A novel local descriptor for scene classification. / Margolin, Ran; Zelnik-Manor, Lihi ; Tal, Ayellet.
Computer Vision, ECCV 2014 - 13th European Conference, Proceedings. PART 7. ed. 2014. p. 377-391 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8695 LNCS, No. PART 7).

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

TY - GEN

T1 - OTC

T2 - 13th European Conference on Computer Vision, ECCV 2014

AU - Margolin, Ran

AU - Zelnik-Manor, Lihi

AU - Tal, Ayellet

PY - 2014

Y1 - 2014

N2 - Scene classification is the task of determining the scene type in which a photograph was taken. In this paper we present a novel local descriptor suited for such a task: Oriented Texture Curves (OTC). Our descriptor captures the texture of a patch along multiple orientations, while maintaining robustness to illumination changes, geometric distortions and local contrast differences. We show that our descriptor outperforms all state-of-the-art descriptors for scene classification algorithms on the most extensive scene classification benchmark to-date.

AB - Scene classification is the task of determining the scene type in which a photograph was taken. In this paper we present a novel local descriptor suited for such a task: Oriented Texture Curves (OTC). Our descriptor captures the texture of a patch along multiple orientations, while maintaining robustness to illumination changes, geometric distortions and local contrast differences. We show that our descriptor outperforms all state-of-the-art descriptors for scene classification algorithms on the most extensive scene classification benchmark to-date.

KW - local descriptor

KW - scene classification

KW - scene recognition

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DO - https://doi.org/10.1007/978-3-319-10584-0_25

M3 - منشور من مؤتمر

SN - 9783319105833

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 377

EP - 391

BT - Computer Vision, ECCV 2014 - 13th European Conference, Proceedings

Y2 - 6 September 2014 through 12 September 2014

ER -

Margolin R, Zelnik-Manor L , Tal A. OTC: A novel local descriptor for scene classification. In Computer Vision, ECCV 2014 - 13th European Conference, Proceedings. PART 7 ed. 2014. p. 377-391. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 7). doi: https://doi.org/10.1007/978-3-319-10584-0_25

OTC: A novel local descriptor for scene classification

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