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  • Marc Decombas

    Language: English

    Published by LAP LAMBERT Academic Publishing, 2018

    ISBN 10: 3659542016 ISBN 13: 9783659542015

    Seller: preigu, Osnabrück, Germany

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    Taschenbuch. Condition: Neu. Low bitrate video compression by content characterization | Marc Decombas | Taschenbuch | 168 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659542015 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

  • Marc Decombas

    Language: English

    Published by LAP LAMBERT Academic Publishing Mai 2014, 2014

    ISBN 10: 3659542016 ISBN 13: 9783659542015

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The objective of this book is to find new methods for semantic video compatible with a traditional encoder like H.264/AVC. The main objective is to maintain the semantic and not the global quality. A target bitrate of 300 Kb/s has been fixed for defense and security applications. To do that, a complete chain of compression has been proposed. A study and new contributions on a spatio-temporal saliency model have been done to extract the important information in the scene. To reduce the bitrate, a resizing method named seam carving has been combined with the H.264/AVC encoder. Also, a metric combining SIFT points and SSIM has been created to measure the quality of objects without being disturbed by less important areas containing mostly artifacts. A database that can be used for testing the saliency model but also for video compression has been proposed, containing sequences with their manually extracted binary masks. All the different approaches have been thoroughly validated by different tests. An extension of this work on video summary application has also been proposed. 168 pp. Englisch.

  • Marc Decombas

    Language: English

    Published by LAP LAMBERT Academic Publishing Mai 2014, 2014

    ISBN 10: 3659542016 ISBN 13: 9783659542015

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The objective of this book is to find new methods for semantic video compatible with a traditional encoder like H.264/AVC. The main objective is to maintain the semantic and not the global quality. A target bitrate of 300 Kb/s has been fixed for defense and security applications. To do that, a complete chain of compression has been proposed. A study and new contributions on a spatio-temporal saliency model have been done to extract the important information in the scene. To reduce the bitrate, a resizing method named seam carving has been combined with the H.264/AVC encoder. Also, a metric combining SIFT points and SSIM has been created to measure the quality of objects without being disturbed by less important areas containing mostly artifacts. A database that can be used for testing the saliency model but also for video compression has been proposed, containing sequences with their manually extracted binary masks. All the different approaches have been thoroughly validated by different tests. An extension of this work on video summary application has also been proposed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.

  • Marc Decombas

    Language: English

    Published by LAP LAMBERT Academic Publishing, 2014

    ISBN 10: 3659542016 ISBN 13: 9783659542015

    Seller: AHA-BUCH GmbH, Einbeck, Germany

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The objective of this book is to find new methods for semantic video compatible with a traditional encoder like H.264/AVC. The main objective is to maintain the semantic and not the global quality. A target bitrate of 300 Kb/s has been fixed for defense and security applications. To do that, a complete chain of compression has been proposed. A study and new contributions on a spatio-temporal saliency model have been done to extract the important information in the scene. To reduce the bitrate, a resizing method named seam carving has been combined with the H.264/AVC encoder. Also, a metric combining SIFT points and SSIM has been created to measure the quality of objects without being disturbed by less important areas containing mostly artifacts. A database that can be used for testing the saliency model but also for video compression has been proposed, containing sequences with their manually extracted binary masks. All the different approaches have been thoroughly validated by different tests. An extension of this work on video summary application has also been proposed.