Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137324273 ISBN 13: 9786137324271
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
Published by LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6137324273 ISBN 13: 9786137324271
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -In this work a novel video summarization system based on unique properties from singular value decomposition (SVD) is presented. Deriving compact representations of video sequences that are intuitive for users and let them easily and quickly browse large collections of video data is fast becoming one of the most important topics in content-based video processing. Such representations, are collectively refer to as video summaries. They rapidly provide the user with information about the contents of the particular video while preserving the information. The need for automatic methods for generating video summaries is fueled both from the user and production viewpoints. With the proliferation of personal video recorder devices and hand-held cameras, many users generate many times more video footage than they can digest. On the other hand, in today¿s fast-paced news coverage, programs such as sports and news must be processed quickly for production or their value quickly decreases. Such time constraints and the increasing number of services being offered place a large burden on production companies to process, edit, and distribute video material as quickly as possible.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
Published by LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6137324273 ISBN 13: 9786137324271
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this work a novel video summarization system based on unique properties from singular value decomposition (SVD) is presented. Deriving compact representations of video sequences that are intuitive for users and let them easily and quickly browse large collections of video data is fast becoming one of the most important topics in content-based video processing. Such representations, are collectively refer to as video summaries. They rapidly provide the user with information about the contents of the particular video while preserving the information. The need for automatic methods for generating video summaries is fueled both from the user and production viewpoints. With the proliferation of personal video recorder devices and hand-held cameras, many users generate many times more video footage than they can digest. On the other hand, in today's fast-paced news coverage, programs such as sports and news must be processed quickly for production or their value quickly decreases. Such time constraints and the increasing number of services being offered place a large burden on production companies to process, edit, and distribute video material as quickly as possible. 52 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137324273 ISBN 13: 9786137324271
Language: English
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kotagi VeerannaProf Veeranna Kotagi is presently serving as Assistant Professor in CSE in East west college of Engineering , Bengaluru. Prof.Venkata Srinivasu Veesam is serving as Assistant Prof in R.V.R & J.C.College of Engg,Guntu.
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137324273 ISBN 13: 9786137324271
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this work a novel video summarization system based on unique properties from singular value decomposition (SVD) is presented. Deriving compact representations of video sequences that are intuitive for users and let them easily and quickly browse large collections of video data is fast becoming one of the most important topics in content-based video processing. Such representations, are collectively refer to as video summaries. They rapidly provide the user with information about the contents of the particular video while preserving the information. The need for automatic methods for generating video summaries is fueled both from the user and production viewpoints. With the proliferation of personal video recorder devices and hand-held cameras, many users generate many times more video footage than they can digest. On the other hand, in today's fast-paced news coverage, programs such as sports and news must be processed quickly for production or their value quickly decreases. Such time constraints and the increasing number of services being offered place a large burden on production companies to process, edit, and distribute video material as quickly as possible.