Könyv Hybrid Approach for Shot Boundary Detection Based on Machine Learning Parul Arora

Hybrid Approach for Shot Boundary Detection Based on Machine Learning

Szerző: Parul Arora
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 8-11 napon belül
31 549 Ft
High level video generalization, video segmentation, video indexing, video summarization and video r...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2024
oldal
260
EAN
9786205630921
ISBN
6205630923
Enbook ID
45031881
Súly
405
Méretek
150 x 220 x 16

Teljes leírás

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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