Grass field detection for TV picture quality enhancement

B. Zafarifar; P.H.N. With, de

doi:10.1109/ICCE.2008.4587982

Grass field detection for TV picture quality enhancement

B. Zafarifar
, P.H.N. With, de

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

23 Citaten (Scopus)

333 Downloads (Pure)

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Current TV image enhancement can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with content-specific enhancement algorithms. In this paper we present an algorithm for segmenting grass areas in video sequences. The system employs multi-scale texture analysis and adaptive color and position models for computing a pixel-based soft segmentation map. Compared to previously reported algorithms, our system shows a clear improvement in the detection result: at 10% false positive rate, the true positive rate of our algorithm yields 91%, vs. 66% and 58% of two existing methods.

Originele taal-2	Engels
Titel	International Conference on Consumer Electronics, 2008. ICCE 2008. Digest of Technical Papers, 9-13 January 2008, Las Vegas, Nevada
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	1-2
ISBN van geprinte versie	978-1-4244-1458-1
DOI's	https://doi.org/10.1109/ICCE.2008.4587982
Status	Gepubliceerd - 2008

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10.1109/ICCE.2008.4587982

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title = "Grass field detection for TV picture quality enhancement",

abstract = "Current TV image enhancement can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with content-specific enhancement algorithms. In this paper we present an algorithm for segmenting grass areas in video sequences. The system employs multi-scale texture analysis and adaptive color and position models for computing a pixel-based soft segmentation map. Compared to previously reported algorithms, our system shows a clear improvement in the detection result: at 10\% false positive rate, the true positive rate of our algorithm yields 91\%, vs. 66\% and 58\% of two existing methods.",

author = "B. Zafarifar and \{With, de\}, P.H.N.",

year = "2008",

doi = "10.1109/ICCE.2008.4587982",

language = "English",

isbn = "978-1-4244-1458-1",

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booktitle = "International Conference on Consumer Electronics, 2008. ICCE 2008. Digest of Technical Papers, 9-13 January 2008, Las Vegas, Nevada",

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Grass field detection for TV picture quality enhancement. / Zafarifar, B.; With, de, P.H.N.
International Conference on Consumer Electronics, 2008. ICCE 2008. Digest of Technical Papers, 9-13 January 2008, Las Vegas, Nevada. Piscataway: Institute of Electrical and Electronics Engineers, 2008. blz. 1-2.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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

PY - 2008

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N2 - Current TV image enhancement can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with content-specific enhancement algorithms. In this paper we present an algorithm for segmenting grass areas in video sequences. The system employs multi-scale texture analysis and adaptive color and position models for computing a pixel-based soft segmentation map. Compared to previously reported algorithms, our system shows a clear improvement in the detection result: at 10% false positive rate, the true positive rate of our algorithm yields 91%, vs. 66% and 58% of two existing methods.

AB - Current TV image enhancement can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with content-specific enhancement algorithms. In this paper we present an algorithm for segmenting grass areas in video sequences. The system employs multi-scale texture analysis and adaptive color and position models for computing a pixel-based soft segmentation map. Compared to previously reported algorithms, our system shows a clear improvement in the detection result: at 10% false positive rate, the true positive rate of our algorithm yields 91%, vs. 66% and 58% of two existing methods.

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DO - 10.1109/ICCE.2008.4587982

M3 - Conference contribution

SN - 978-1-4244-1458-1

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BT - International Conference on Consumer Electronics, 2008. ICCE 2008. Digest of Technical Papers, 9-13 January 2008, Las Vegas, Nevada

PB - Institute of Electrical and Electronics Engineers

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Grass field detection for TV picture quality enhancement

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