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portada Hybrid Approach for Shot Boundary Detection Based on Machine Learning
Type
Physical Book
Author
Publisher
Language
English
Pages
260
Format
Paperback
Dimensions
22.9x15.2x1.5 cm
Weight
0.39 kg.
ISBN13
9786205630921
Categories

Hybrid Approach for Shot Boundary Detection Based on Machine Learning

Neelam Labhade-Kumar (Author) · Parul Arora (Author) · LAP Lambert Academic Publishing · Paperback

Hybrid Approach for Shot Boundary Detection Based on Machine Learning - Labhade-Kumar, Neelam ; Arora, Parul

New Book Imported to South Africa
Delivery: 02 Oct - 12 Oct Shipping: 14 to 15 business days.
R 1,740
R 1,740

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Synopsis "Hybrid Approach for Shot Boundary Detection Based on Machine Learning"

High level video generalization, video segmentation, video indexing, video summarization and video recovery required an elementary step of recognition of shot boundaries. Therefore detection of shot boundaries is prerequisite for revealing content of complicated video structure. 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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