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Aggiungi al carrelloTaschenbuch. Condizione: Neu. OPTIMIZATION OF FAST MOTION ESTIMATION ALGORITHMS IN VIDEO COMPRESSION | Rahul Bhandari (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208439828 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
Lingua: Inglese
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Now-a-day the applications of digital video growing rapidly. This generate huge amount of video data which are very complicated task for storing, processing and transmitting video sequences. Furthermore, growing the demand for enhanced user experience are getting smaller size of devices capable of performing operations of video processing. H.264 is an international video coding standard which compresses high quality video content at low bitrates for wide range of video applications. It uses state-of-the-art coding tools and provide enhanced efficiency of coding to provide higher capabilities of compression with high perceptual quality. These capabilities have also affected to increase in complexity while implementing H.264 in real-time applications. This book comprises two proposed block-based motion estimation for video compression. This proposed algorithm was better algorithm amongst 10 algorithms (described in this book) simulated from the point of view of lowest number of searching points and quality of video (PSNR value). 136 pp. Englisch.
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Editore: LAP LAMBERT Academic Publishing Mär 2025, 2025
ISBN 10: 6208439825 ISBN 13: 9786208439828
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Now-a-day the applications of digital video growing rapidly. This generate huge amount of video data which are very complicated task for storing, processing and transmitting video sequences. Furthermore, growing the demand for enhanced user experience are getting smaller size of devices capable of performing operations of video processing. H.264 is an international video coding standard which compresses high quality video content at low bitrates for wide range of video applications. It uses state-of-the-art coding tools and provide enhanced efficiency of coding to provide higher capabilities of compression with high perceptual quality. These capabilities have also affected to increase in complexity while implementing H.264 in real-time applications. This book comprises two proposed block-based motion estimation for video compression. This proposed algorithm was better algorithm amongst 10 algorithms (described in this book) simulated from the point of view of lowest number of searching points and quality of video (PSNR value).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch.
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ISBN 10: 6208439825 ISBN 13: 9786208439828
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Now-a-day the applications of digital video growing rapidly. This generate huge amount of video data which are very complicated task for storing, processing and transmitting video sequences. Furthermore, growing the demand for enhanced user experience are getting smaller size of devices capable of performing operations of video processing. H.264 is an international video coding standard which compresses high quality video content at low bitrates for wide range of video applications. It uses state-of-the-art coding tools and provide enhanced efficiency of coding to provide higher capabilities of compression with high perceptual quality. These capabilities have also affected to increase in complexity while implementing H.264 in real-time applications. This book comprises two proposed block-based motion estimation for video compression. This proposed algorithm was better algorithm amongst 10 algorithms (described in this book) simulated from the point of view of lowest number of searching points and quality of video (PSNR value).