Hybrid Approach for Shot Boundary Detection Based on Machine Learning - Image 1

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LAP Lambert Academic Publishing Hybrid Approach for Shot Boundary Detection Based on Machine Learning

Name: Hybrid Approach for Shot Boundary Detection Based on Machine Learning
Brand: LAP Lambert Academic Publishing
Price: 78.0 GBP
Availability: InStock

Higher Education

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Description

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.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 6205630923
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Higher Education
Domain: Amazon UK
Release Date: 22 January 2024
Listed Since: 16 February 2024

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It has never been this cheap. We have no record of a lower price.

LAP Lambert Academic Publishing Hybrid Approach for Shot Boundary Detection Based on Machine Learning

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Price Distribution

Price Analysis

Description

Product Specifications

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