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A New Approach to Video Compression using DWT and MEC: Novel Method of Video Compression using Discrete Wavelength Transform and Motion Estimation and Compensation - Couverture souple

 
9783843371346: A New Approach to Video Compression using DWT and MEC: Novel Method of Video Compression using Discrete Wavelength Transform and Motion Estimation and Compensation

Synopsis

The video compression techniques developed in the past deployed DCT (Discrete Cosine Transform) for removing spatial redundancies and MEC (Motion Estimation and Compensation) for removing temporal redundancies in the video stream. These techniques suffer from blocking artifacts and produces low quality compressed video when the bandwidth availability is low in case of simultaneous transmissions on the link. Many DWT based video compression techniques have been proposed, but, unfortunately no standard has been developed to deploy these techniques because either most of the techniques have not been implemented practically or desired results have not been obtained successfully. This study presents a new compression technique deploying DWT for removing spatial redundancies and MEC for removing temporal redundancies. 10% improvement in compression ratio is obtained using the proposed approach, when applied to already compressed format such as AVI, WMV etc. This work is a first step towards the development of scalable video codec using DWT and MEC, which can be deployed as a future video compression standard.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

M Naveed, A Hussain and S O H Zaidi have done B.Sc. Electrical Engineering from University of Engineering and Technology, Peshawar, Pakistan. M Naveed is an active researcher and has 7 research papers. He also holds valid CCNA, CCNA Security and CNSS 4011 certifications. A Hussain is currently doing MS in System Engineering from PIEAS, Pakistan.

M Naveed, A Hussain and S O H Zaidi have done B.Sc. Electrical Engineering from University of Engineering and Technology, Peshawar, Pakistan. M Naveed is an active researcher and has 7 research papers. He also holds valid CCNA, CCNA Security and CNSS 4011 certifications. A Hussain is currently doing MS in System Engineering from PIEAS, Pakistan.

M Naveed, A Hussain and S O H Zaidi have done B.Sc. Electrical Engineering from University of Engineering and Technology, Peshawar, Pakistan. M Naveed is an active researcher and has 7 research papers. He also holds valid CCNA, CCNA Security and CNSS 4011 certifications. A Hussain is currently doing MS in System Engineering from PIEAS, Pakistan.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

  • ÉditeurLAP Lambert Academic Publishing
  • Date d'édition2010
  • ISBN 10 3843371342
  • ISBN 13 9783843371346
  • ReliureBroché
  • Langueanglais
  • Nombre de pages84
  • Coordonnées du fabricantnon disponible

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Naveed MuhammadM Naveed, A Hussain and S O H Zaidi have done B.Sc. Electrical Engineering from University of Engineering and Technology, Peshawar, Pakistan. M Naveed is an active researcher and has 7 research papers. He also holds va. N° de réf. du vendeur 5467046

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The video compression techniques developed in the past deployed DCT (Discrete Cosine Transform) for removing spatial redundancies and MEC (Motion Estimation and Compensation) for removing temporal redundancies in the video stream. These techniques suffer from blocking artifacts and produces low quality compressed video when the bandwidth availability is low in case of simultaneous transmissions on the link. Many DWT based video compression techniques have been proposed, but, unfortunately no standard has been developed to deploy these techniques because either most of the techniques have not been implemented practically or desired results have not been obtained successfully. This study presents a new compression technique deploying DWT for removing spatial redundancies and MEC for removing temporal redundancies. 10% improvement in compression ratio is obtained using the proposed approach, when applied to already compressed format such as AVI, WMV etc. This work is a first step towards the development of scalable video codec using DWT and MEC, which can be deployed as a future video compression standard. N° de réf. du vendeur 9783843371346

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The video compression techniques developed in the past deployed DCT (Discrete Cosine Transform) for removing spatial redundancies and MEC (Motion Estimation and Compensation) for removing temporal redundancies in the video stream. These techniques suffer from blocking artifacts and produces low quality compressed video when the bandwidth availability is low in case of simultaneous transmissions on the link. Many DWT based video compression techniques have been proposed, but, unfortunately no standard has been developed to deploy these techniques because either most of the techniques have not been implemented practically or desired results have not been obtained successfully. This study presents a new compression technique deploying DWT for removing spatial redundancies and MEC for removing temporal redundancies. 10% improvement in compression ratio is obtained using the proposed approach, when applied to already compressed format such as AVI, WMV etc. This work is a first step towards the development of scalable video codec using DWT and MEC, which can be deployed as a future video compression standard. 84 pp. Englisch. N° de réf. du vendeur 9783843371346

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Taschenbuch. Etat : Neu. Neuware -The video compression techniques developed in the past deployed DCT (Discrete Cosine Transform) for removing spatial redundancies and MEC (Motion Estimation and Compensation) for removing temporal redundancies in the video stream. These techniques suffer from blocking artifacts and produces low quality compressed video when the bandwidth availability is low in case of simultaneous transmissions on the link. Many DWT based video compression techniques have been proposed, but, unfortunately no standard has been developed to deploy these techniques because either most of the techniques have not been implemented practically or desired results have not been obtained successfully. This study presents a new compression technique deploying DWT for removing spatial redundancies and MEC for removing temporal redundancies. 10% improvement in compression ratio is obtained using the proposed approach, when applied to already compressed format such as AVI, WMV etc. This work is a first step towards the development of scalable video codec using DWT and MEC, which can be deployed as a future video compression standard.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. N° de réf. du vendeur 9783843371346

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