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2018 | OriginalPaper | Chapter

Automatic Camera Selection in the Context of Basketball Game

Authors : Florent Lefèvre, Vincent Bombardier, Patrick Charpentier, Nicolas Krommenacker, Bertrand Petat

Published in: Image and Signal Processing

Publisher: Springer International Publishing

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Abstract

This article presents an automatic video editing method for video stream selection in a multi-camera environment. The specific context of this study is Basketball game recording and broadcasting. In order to offer the best view to spectator our method is based on action detection in order to select the right camera. We use an azimuth camera to detect the center of gravity of the players representing the action in the match. The effectiveness of our method has been tested by comparing the editing obtained with that carried out by a human operator.

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previous chapter An Adaptive Block-Based Histogram Packing for Improving the Compression Performance of JPEG-LS for Images with Sparse and Locally Sparse Histograms

next chapter An Objective Evaluation of Edge Detection Methods Based on Oriented Half Kernels

This work results from a collaboration between CitizenCam and the CRAN.

opencv.org.

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Title: Automatic Camera Selection in the Context of Basketball Game
Authors: Florent Lefèvre
Vincent Bombardier
Patrick Charpentier
Nicolas Krommenacker
Bertrand Petat
Publisher: Springer International Publishing
Book: Image and Signal Processing
Print ISBN: 978-3-319-94210-0

Electronic ISBN: 978-3-319-94211-7

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-94211-7_9

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