Hybrid Approach for Shot Boundary Detection Based on Machine Learning
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There are several applications where shot boundary detection automation can be used such as Geographical information system (GIS), restoration of video, multimedia news, digital libraries, Tele-learning, interactive display. There are some problems that still need to be addressed by the researchers to resolve.
The disturbance caused by the illumination change, detection of gradual and abrupt transitions is the main confronts in the detection of shot breaks. In this book we propose three methods for shot boundary detection which are Dual Tree Discrete Wavelet Transform (DTDWT), Artificial Neural Network (ANN) and Convolution Neural Network (CNN).
We have assessed algorithms using performance evaluation metric Precision, Recall and F1 measure. .
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£27.18
£28.33 -
£10.58
£12.58 -
£16.71
£17.13
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