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2016 | OriginalPaper | Buchkapitel

Redundancy Elimination in Video Summarization

verfasst von : Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Susanta Chakraborty

Erschienen in: Image Feature Detectors and Descriptors

Verlag: Springer International Publishing

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Abstract

Video summarization is a task which aims at presenting the contents of a video to the user in a succinct manner so as to reduce the retrieval and browsing time. At the same time sufficient coverage of the contents is to be ensured. A trade-off between conciseness and coverage has to be reached as these properties are conflicting to each other. Various feature descriptors have been developed which can be used for redundancy removal in the spatial and temporal domains. This chapter takes an insight into the various strategies for redundancy removal. A method for intra-shot and inter-shot redundancy removal for static video summarization is also presented. High values of precision and recall illustrate the efficacy of the proposed method on a dataset consisting of videos with varied characteristics.

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Titel: Redundancy Elimination in Video Summarization
verfasst von: Hrishikesh Bhaumik
Siddhartha Bhattacharyya
Susanta Chakraborty
Verlag: Springer International Publishing
Buch: Image Feature Detectors and Descriptors
Print ISBN: 978-3-319-28852-9

Electronic ISBN: 978-3-319-28854-3

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-28854-3_7

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