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2019 | OriginalPaper | Buchkapitel

A Comparative Study of 2 Resolution-Level LBP Descriptors and Compact Versions for Visual Analysis

verfasst von : Karim Hammoudi, Mahmoud Melkemi, Fadi Dornaika, Halim Benhabiles, Feryal Windal, Oussama Taoufik

Erschienen in: Advanced Multimedia and Ubiquitous Engineering

Verlag: Springer Singapore

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Abstract

We describe computation methods of Local Binary Pattern (LBP) descriptors as well as of 2-Resolution-level LBP. Both classical and compact versions of these descriptors are illustrated and evaluated with image sets of varied natures. Each considered image set is associated to a contextual study case which has an applicative objective for visual analysis and object categorization. A comparative study shows performances and potentialities of each presented method.

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Literatur
1.
Zurück zum Zitat Yazici A, Koyuncu M, Yilmaz T, Sattari S, Sert M et al (2018) An intelligent multimedia information system for multimodal content extraction and querying. Multimedia Tools Appl 77(2):2225–2260CrossRef Yazici A, Koyuncu M, Yilmaz T, Sattari S, Sert M et al (2018) An intelligent multimedia information system for multimodal content extraction and querying. Multimedia Tools Appl 77(2):2225–2260CrossRef
2.
Zurück zum Zitat López-Sánchez D, Arrieta AG, Corchado JM (2018) Deep neural networks and transfer learning applied to multimedia web mining. In: 14th international conference, advances in intelligent systems and computing distributed computing and artificial intelligence. Springer, pp 124–131 López-Sánchez D, Arrieta AG, Corchado JM (2018) Deep neural networks and transfer learning applied to multimedia web mining. In: 14th international conference, advances in intelligent systems and computing distributed computing and artificial intelligence. Springer, pp 124–131
3.
Zurück zum Zitat Perazzi F, Khoreva A, Benenson R, Schiele B, Sorkine-Hornung A (2017) Learning video object segmentation from static images. In: International conference on computer vision and pattern recognition (CVPR). IEEE, pp 3491–3500 Perazzi F, Khoreva A, Benenson R, Schiele B, Sorkine-Hornung A (2017) Learning video object segmentation from static images. In: International conference on computer vision and pattern recognition (CVPR). IEEE, pp 3491–3500
4.
Zurück zum Zitat Asadi-Aghbolaghi M, Clapes A, Bellantonio M, Escalante HJ, Ponce-Lopez V et al (2017) A survey on deep learning based approaches for action and gesture recognition in image sequences. In: 12th international conference on automatic face & gesture recognition (FG 2017). IEEE, pp. 476–483 Asadi-Aghbolaghi M, Clapes A, Bellantonio M, Escalante HJ, Ponce-Lopez V et al (2017) A survey on deep learning based approaches for action and gesture recognition in image sequences. In: 12th international conference on automatic face & gesture recognition (FG 2017). IEEE, pp. 476–483
5.
Zurück zum Zitat Qian J (2018) A survey on sentiment classification in face recognition. J Phys Conf Ser 960(1):12030 Qian J (2018) A survey on sentiment classification in face recognition. J Phys Conf Ser 960(1):12030
6.
Zurück zum Zitat Ojala T, Pietikäinen M, Harwood D (1996) A comparative study of texture measures with classification based on featured distributions. Pattern Recogn 29(1):51–59CrossRef Ojala T, Pietikäinen M, Harwood D (1996) A comparative study of texture measures with classification based on featured distributions. Pattern Recogn 29(1):51–59CrossRef
7.
Zurück zum Zitat Hammoudi K, Melkemi M, Dornaika F, Phan TDA, Taoufik O (2018) Computing multi-purpose image-based descriptors for object detection: powerfulness of LBP and its variants. In: International congress on information and communication technology (ICICT). Advances in intelligent systems and computing (AISC). Springer Hammoudi K, Melkemi M, Dornaika F, Phan TDA, Taoufik O (2018) Computing multi-purpose image-based descriptors for object detection: powerfulness of LBP and its variants. In: International congress on information and communication technology (ICICT). Advances in intelligent systems and computing (AISC). Springer
8.
Zurück zum Zitat Almeida P, Oliveira L, Britto A, Silva E, Koerich A (2015) PKLot—a robust dataset for parking lot classification. Expert Syst Appl 42(11):4937–4949CrossRef Almeida P, Oliveira L, Britto A, Silva E, Koerich A (2015) PKLot—a robust dataset for parking lot classification. Expert Syst Appl 42(11):4937–4949CrossRef
9.
Zurück zum Zitat Araújo T, Aresta G, Castro E, Rouco J, Aguiar P et al (2017) Classification of breast cancer histology images using convolutional neural networks. PLOS ONE. 12(6):e0177544CrossRef Araújo T, Aresta G, Castro E, Rouco J, Aguiar P et al (2017) Classification of breast cancer histology images using convolutional neural networks. PLOS ONE. 12(6):e0177544CrossRef
Metadaten
Titel
A Comparative Study of 2 Resolution-Level LBP Descriptors and Compact Versions for Visual Analysis
verfasst von
Karim Hammoudi
Mahmoud Melkemi
Fadi Dornaika
Halim Benhabiles
Feryal Windal
Oussama Taoufik
Copyright-Jahr
2019
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-1328-8_28

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