Bird and whale species identification using sound images-Reference-Cited by-同舟云学术

Bird and whale species identification using sound images

Published:2017-12-22 Issue:2 Volume:12 Page:178-184
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Nanni Loris¹,Aguiar Rafael L.²³,Costa Yandre M.G.²,Brahnam Sheryl⁴,Silla Carlos N.³,Brattin Ricky L.⁴,Zhao Zhao⁵⁶

Affiliation:

1. DEIUniversity of PaduaItaly

2. PCC/DINState University of MaringáMaringáBrazil

3. PPGIAPontifical Catholic University of ParanáCuritibaBrazil

4. CISMissouri State UniversitySpringfieldUSA

5. School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjing210094People's Republic of China

6. Department of Forestry and Natural ResourcesPurdue UniversityWest LafayetteIN47907USA

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Araucária

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0075

Reference59 articles.

1. Automatic track recognition of footprints for identifying cryptic species

2. Costa Y.M.G. Oliveira L.E.S. Koerich A.L. et al: ‘Music genre recognition using spectrograms’.18th Int. Conf. on Systems Signals and Image Processing 2011 pp.151–154

3. Textural Features for Image Classification

4. Music genre classification using LBP textural features

5. Costa Y.M.G. Oliveira L.E.S. Koerich A.L. et al: ‘Music genre recognition using Gabor filters and LPQ texture descriptors’.18th Iberoamerican Congress on Pattern Recognition 2013 pp.67–74

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