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IEEE International Conference on Image Processing (ICIP 2007)

作者： Zgaljic, Toni Mrak, Marta Izquierdo, Ebroul Queen Mary Univ London Multimedia & Vis Res Grp London E1 4NS England

ISBN: (纸本)9781424414369

Accurate probability estimation is a key to efficient compression in entropy coding phase of state-of-the-art video coding systems. Probability estimation can be enhanced if contexts in which symbols occur are used during the probability estimation phase. However, these contexts have to be carefully designed in order to avoid negative effects. Methods that use tree structures to model contexts of various syntax elements have been proven efficient in image and video coding. In this paper we use such structure to build optimised contexts for application in scalable wavelet-based video coding. With the proposed approach context are designed separately for intra-coded frames and motion-compensated frames considering varying statistics across different spatio-temporal subbands. Moreover, contexts are separately designed for different bit-planes. Comparison with compression using fixed contexts from Embedded ZeroBlock coding (EZBC) has been performed showing improvements when context modelling on tree structures is applied.

关键词： context modelling entropy coding scalable wavelet-based video coding

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Motion and texture rate-allocation for prediction-based scalable motion-vector coding

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SIGNAL PROCESSING-IMAGE COMMUNICATION 2005年第4期20卷 315-342页

作者： Barbarien, J Munteanu, A Verdicchio, F Andreopoulos, Y Cornelis, J Schelkens, P Free Univ Brussels Dept Elect & Informat Proc Interdisciplinary Inst Broadband Technol B-1050 Brussels Belgium

Modern video coding applications require data transmission over variable-bandwidth wired and wireless network channels to a variety of terminals, possibly having different screen resolutions and available computing power. scalable video coding technology is needed to optimally support these applications. Recently proposed wavelet-based video codecs employing spatial-domain motion-compensated temporal filtering (SDMCTF) provide quality, resolution and frame-rate scalability while delivering compression performance comparable to that of H.264, the state-of-the-art in single-layer video coding. These codecs require quality-scalable coding of the motion vectors to support a large range of bit-rates with optimal compression efficiency. In this paper, the practical use of prediction-based scalable motion-vector coding in the context of scalable SDMCTF-based video coding is investigated. Extensive experimental results demonstrate that, irrespective of the employed motion model, our prediction-based scalable motion-vector codec (MVC) systematically outperforms state-of-the-art wavelet-based solutions for both lossy and lossless compression. A new rate-distortion optimized rate-allocation strategy is proposed, capable of optimally distributing the available bit-budget between the different frames and between the texture and motion information, making the integration of the scalable MVC into a scalable video codec possible. This rate-allocation scheme systematically outperforms heuristic approaches previously employed in the literature. Experiments confirm that by using a scalable MVC, lower bit-rates can be attained without sacrificing motion-estimation efficiency and that the overall coding performance at low rates is significantly improved by a better distribution of the available rate between texture and motion information. The only downside of scalable motion-vector coding is a slight performance loss incurred at high bit-rates. (c) 2005 Elsevier B.V. All rights reserved

关键词： scalable wavelet-based video coding spatial domain motion-compensated temporal filtering multi-hypothesis block-based motion estimation scalable motion-vector coding rate allocation

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scalable motion vector coding

Scalable motion vector coding

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Conference on Applications of Digital Image Processing XXVII

作者： Barbarien, J Munteanu, A Verdicchio, F Andreopoulos, Y Cornelis, J Schelkens, P Free Univ Brussels Dept Elect & Informat Proc ETRO B-1050 Brussels Belgium

ISBN: (纸本)0819454966

Modem video coding applications require transmission of video data over variable-bandwidth channels to a variety of terminals with different screen resolutions and available computational power. scalable video coding is needed to optimally support these applications. Recently proposed wavelet-based video codecs employing spatial domain motion compensated temporal filtering (SDMCTF) provide quality, resolution and frame-rate scalability while delivering compression performance comparable to that of the state-of-the-art non-scalable H.264-codec. These codecs require scalable coding of the motion vectors in order to support a large range of bit-rates with optimal compression efficiency. scalable motion vector coding algorithms based on the integer wavelet transform followed by embedded coding of the wavelet coefficients were recently proposed. In this paper, a new and fundamentally different scalable motion vector codec (MVC) using median-based motion vector prediction is proposed. Extensive experimental results demonstrate that the proposed MVC systematically outperforms the wavelet-based state-of-the-art solutions. To be able to take advantage of the proposed scalable MVC, a rate allocation mechanism capable of optimally dividing the available rate among texture and motion information is required. Two rate allocation strategies are proposed and compared. The proposed MVC and rate allocation schemes are incorporated into an SDMCTF-based video codec and the benefits of scalable motion vector coding are experimentally demonstrated.

关键词： scalable wavelet-based video coding spatial domain motion compensated temporal filtering multi-hypothesis block-based motion estimation scalable motion vector coding

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