Real-time semantic context labeling for image understanding

M.A.R. Pieck; F. Sommen, van der; S. Zinger; P.H.N. With, de

doi:10.1109/ICIP.2015.7351390

Real-time semantic context labeling for image understanding

M.A.R. Pieck, F. Sommen, van der, S. Zinger, P.H.N. With, de

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

2 Citations (Scopus)

1 Downloads (Pure)

Abstract

The use of context information in a scene is an important aid for full semantic scene understanding in security and surveillance applications. To this end, this paper presents an innovative semantic context-labeling algorithm for three context classes, trading-off quality and real-time execution. Our system consists of three consecutive stages: image segmentation, region-based feature extraction and classification. We propose the joint use of the features color in HSV space, texture from Gabor filters and spatial context, in combination with the Directional Nearest Neighbor (DNN) method for constructing the undirected graph for segmentation. Compared to recent literature, this combination is over 35 times faster and achieves a coverability rate that is 65% higher.

Original language	English
Title of host publication	Proceedings of the2015 IEEE International Conference on Image Processing (ICIP 2015), 27-30 September 2015, Quebec City, Canada
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	3180-3184
ISBN (Print)	978-1-4799-8339-1
DOIs	https://doi.org/10.1109/ICIP.2015.7351390
Publication status	Published - 2015
Event	22nd IEEE International Conference on Image Processing (ICIP 2015) - Quebec, Canada Duration: 27 Sept 2015 → 30 Sept 2015 Conference number: 22 http://www.icip2015.org/

Conference

Conference	22nd IEEE International Conference on Image Processing (ICIP 2015)
Abbreviated title	ICIP 2015
Country/Territory	Canada
City	Quebec
Period	27/09/15 → 30/09/15
Internet address	http://www.icip2015.org/

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Pieck, M. A. R., Sommen, van der, F., Zinger, S., & With, de, P. H. N. (2015). Real-time semantic context labeling for image understanding. In Proceedings of the2015 IEEE International Conference on Image Processing (ICIP 2015), 27-30 September 2015, Quebec City, Canada (pp. 3180-3184). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIP.2015.7351390

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title = "Real-time semantic context labeling for image understanding",

abstract = "The use of context information in a scene is an important aid for full semantic scene understanding in security and surveillance applications. To this end, this paper presents an innovative semantic context-labeling algorithm for three context classes, trading-off quality and real-time execution. Our system consists of three consecutive stages: image segmentation, region-based feature extraction and classification. We propose the joint use of the features color in HSV space, texture from Gabor filters and spatial context, in combination with the Directional Nearest Neighbor (DNN) method for constructing the undirected graph for segmentation. Compared to recent literature, this combination is over 35 times faster and achieves a coverability rate that is 65% higher.",

author = "M.A.R. Pieck and {Sommen, van der}, F. and S. Zinger and {With, de}, P.H.N.",

year = "2015",

doi = "10.1109/ICIP.2015.7351390",

language = "English",

isbn = "978-1-4799-8339-1",

pages = "3180--3184",

booktitle = "Proceedings of the2015 IEEE International Conference on Image Processing (ICIP 2015), 27-30 September 2015, Quebec City, Canada",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "22nd IEEE International Conference on Image Processing (ICIP 2015), ICIP 2015 ; Conference date: 27-09-2015 Through 30-09-2015",

url = "http://www.icip2015.org/",

}

Pieck, MAR, Sommen, van der, F , Zinger, S & With, de, PHN 2015, Real-time semantic context labeling for image understanding. in Proceedings of the2015 IEEE International Conference on Image Processing (ICIP 2015), 27-30 September 2015, Quebec City, Canada. Institute of Electrical and Electronics Engineers, Piscataway, pp. 3180-3184, 22nd IEEE International Conference on Image Processing (ICIP 2015), Quebec, Canada, 27/09/15. https://doi.org/10.1109/ICIP.2015.7351390

Real-time semantic context labeling for image understanding. / Pieck, M.A.R.; Sommen, van der, F.; Zinger, S. et al.
Proceedings of the2015 IEEE International Conference on Image Processing (ICIP 2015), 27-30 September 2015, Quebec City, Canada. Piscataway: Institute of Electrical and Electronics Engineers, 2015. p. 3180-3184.

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

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AU - With, de, P.H.N.

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AB - The use of context information in a scene is an important aid for full semantic scene understanding in security and surveillance applications. To this end, this paper presents an innovative semantic context-labeling algorithm for three context classes, trading-off quality and real-time execution. Our system consists of three consecutive stages: image segmentation, region-based feature extraction and classification. We propose the joint use of the features color in HSV space, texture from Gabor filters and spatial context, in combination with the Directional Nearest Neighbor (DNN) method for constructing the undirected graph for segmentation. Compared to recent literature, this combination is over 35 times faster and achieves a coverability rate that is 65% higher.

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DO - 10.1109/ICIP.2015.7351390

M3 - Conference contribution

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BT - Proceedings of the2015 IEEE International Conference on Image Processing (ICIP 2015), 27-30 September 2015, Quebec City, Canada

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 22nd IEEE International Conference on Image Processing (ICIP 2015)

Y2 - 27 September 2015 through 30 September 2015

ER -

Real-time semantic context labeling for image understanding

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