Low bitrate video compression by content characterization

Marc Decombas

Verlag: LAP Lambert Academic Publishing, 2018
ISBN 10: 3659542016 / ISBN 13: 9783659542015
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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. Buchnummer des Verkäufers 9783659542015

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Titel: Low bitrate video compression by content ...
Verlag: LAP Lambert Academic Publishing
Erscheinungsdatum: 2018
Einband: Taschenbuch
Zustand: Neu

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Marc Decombas
Verlag: LAP Lambert Academic Publishing
ISBN 10: 3659542016 ISBN 13: 9783659542015
Neu Taschenbuch Anzahl: 1
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Buchbeschreibung LAP Lambert Academic Publishing. Taschenbuch. Zustand: Neu. Druck auf Anfrage 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. Artikel-Nr. 9783659542015

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