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Lefevre, Sebastien
University of South Brittany
Vannes, France
 
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   Remote sensing image classification in R
Kamusoko C.,  Springer International Publishing, New York, NY, 2019. 189 pp. Type: Book

Today, artificial intelligence (AI) benefits many scientific fields, including Earth observation (EO). This is not new--machine learning met remote sensing in the early 70s. Since then, supervised classification has been extensively used to p...

Jul 12 2021  
  A computational introduction to digital image processing (2nd ed.)
McAndrew A.,  Chapman & Hall/CRC, Boca Raton, FL, 2016. 551 pp. Type: Book (978-1-482247-32-9)

Many books have been published on digital image processing. Alasdair McAndrew’s A computational introduction to digital image processing is a relevant choice for all those who would like to enter the field from a practical perspective...

Aug 3 2017  
  Advanced topics in computer vision
Farinella G., Battiato S., Cipolla R.,  Springer Publishing Company, Incorporated, New York, NY, 2013. 475 pp. Type: Book (978-1-447155-19-5)

Computer vision aims to make computers mimic humans in order to understand their environments through visual interpretation. This book is a collection of 14 papers covering a wide range of problems in computer vision. Very notably, these papers ar...

Jun 18 2014  
   Practical computer vision with SimpleCV
Demaagd K., Oliver A., Oostendorp N., Scott K.,  O’Reilly Media, Inc., Sebastopol, CA, 2012. 254 pp. Type: Book (978-1-449320-36-2)

Computer vision is the science of making computers that see as humans usually do. But mimicking this human ability is a very challenging problem. Over recent decades, computer science, applied mathematics, and physics have contributed some key ele...

Jul 5 2013  
  Image matting through a web browser
Lin Y., Wang H., Hsieh Y.  Multimedia Tools and Applications 61(3): 551-570, 2012. Type: Article

With the profusion of images available on the web, the need for online image editing tools is constantly increasing. Image matting is of particular interest, because it allows for image composition, that is, extracting an object from one image to ...

Feb 5 2013  
  Computer vision: algorithms and applications
Szeliski R.,  Springer-Verlag New York, Inc., New York, NY, 2010. 812 pp. Type: Book (978-1-848829-34-3)

After several decades of research, computer vision is still a challenging domain. Despite its continuous improvement, the computer is far behind the human in understanding visual content. Fortunately, the computer vision research community is very...

Jul 27 2011  
  Looking at near-duplicate videos from a human-centric perspective
de Oliveira R., Cherubini M., Oliver N.  ACM Transactions on Multimedia Computing, Communications, and Applications 6(3): 1-22, 2010. Type: Article

Video repositories on the Web (such as YouTube) are very popular, as they enable users to gain access to a lot of video content and also propose new content. However, this open way of feeding a database introduces a major problem: when providing n...

Mar 1 2011  
  Correlative multilabel video annotation with temporal kernels
Qi G., Hua X., Rui Y., Tang J., Mei T., Wang M., Zhang H.  ACM Transactions on Multimedia Computing, Communications, and Applications 5(1): 1-27, 2008. Type: Article

Annotation of multimedia data is a very topical yet very challenging problem. Indeed, Web sites such as YouTube store terabytes or even petabytes of video data. To successfully enable user navigation or retrieval in these huge databases, some auto...

Dec 11 2008  
  OM-based video shot retrieval by one-to-one matching
Peng Y., Ngo C., Xiao J.  Multimedia Tools and Applications 34(2): 249-266, 2007. Type: Article

Content-based video retrieval is a very topical research field due to the huge amount of video data generated every day and available worldwide. This retrieval may be achieved using similarity between video samples--either at the shot level o...

Apr 17 2008  
  Computer vision for nanoscale imaging
Ribeiro E., Shah M.  Machine Vision and Applications 17(3): 147-162, 2006. Type: Article

Imagine looking at increasingly smaller things: cells, bacteria, viruses, proteins, molecules, and, finally, atoms. This is now possible with nanoscale imaging, which produces two-dimensional (2D) and three-dimensional (3D) images with spatial res...

Dec 6 2007  
 
 
 
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