Video Annotation Using Softcomputing

Language: English

Published by LAP LAMBERT Academic Publishing, 2021

6204199889 / 9786204199887

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Domain adaptive video annotation has received significant attention, due to the large increase in digital data. Video Annotation encounters many difficulties, such as insufficiency of training data, curse of dimensionality and the problem of semantic gap. As the manual annotation takes more time and is labor intensive, therefore automatic annotation is highly desirable. In this book, we have proposed a framework for effective video annotation [AVA-VC] which is based on visual content. The Sailency feature extraction technique is used initially, which is followed by shot detection and two level keyframe extraction technique. The proposed feature extraction technique and use of COREL5 image database improves the result of of video annotation. Generation of the weight vector in the training phase and using this newly generated weight vector to find out the annotation, leads in improving the performance. Trecvid dataset is used to test the performance of the proposed algorithm. The proposed AVA-VC outperforms for 38 and 36 concepts on MAP, when it is compared with well known algorithms OMG- SSL and MMT-MGO.

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Title
Video Annotation Using Softcomputing
Author
Archana Potnurwar
Publisher
LAP LAMBERT Academic Publishing
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6204199889
ISBN 13
9786204199887
Item weight
209 grams
Dimensions
220x150x9 mm

AHA-BUCH GmbH

Einbeck, Germany

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