complexity scalable algorithms are capable of trading resource usage for output quality in a near-optimal way. We present a complexity scalable motion estimation algorithm based on the 3-D recursive search block match...
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ISBN:
(纸本)0819444111
complexity scalable algorithms are capable of trading resource usage for output quality in a near-optimal way. We present a complexity scalable motion estimation algorithm based on the 3-D recursive search block matcher. We introduce data prioritizing as a new approach to scalability. With this approach, we achieve a near-constant complexity and a continuous quality-resource distribution. While maintaining acceptable quality, it is possible to vary the resource usage from below 1 match-error calculation per block on the average to more than 5 match-error calculations per block on the average.
In wireless communication networks, an important issue that must be addressed is the limited energy supply of a mobile device, especially in wireless video applications. In this paper, we develop a parametric video en...
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ISBN:
(纸本)0780379381
In wireless communication networks, an important issue that must be addressed is the limited energy supply of a mobile device, especially in wireless video applications. In this paper, we develop a parametric video encoding architecture, which is fully scalable in power consumption, and establish the power-rate-distortion (P-R-D) model of the video encoding system. Both theoretically and experimentally, we show that by using this P-R-D model, the encoding system is able to automatically adjust its complexity control parameters to match the available energy supply of the mobile device while maximizing the picture quality. The P-R-D model provides a theoretical guideline for system design and performance optimization in wireless video communication under power constraint.
in conversational video streaming applications, periodic I-frame coding is not allowed due to strict low delay requirement. For this scenario, we propose a novel hybrid paradigm, which takes advantage of both accurate...
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ISBN:
(纸本)9781424414369
in conversational video streaming applications, periodic I-frame coding is not allowed due to strict low delay requirement. For this scenario, we propose a novel hybrid paradigm, which takes advantage of both accurate pixel-level estimation and efficient block-level estimation. Specifically, error propagated (EP) distortion from the last N coded frames are exactly calculated per pixel for high accuracy, while EP effect beyond the frame limit N are estimated per macroblock for low complexity. By varying the frame limit, flexible trade-offs between complexity and performance can be achieved, rendering our scheme especially suitable for wireless video streaming, where stringent power resource is always a challenge. Simulation results justify the effectiveness of the proposed hybrid ED estimation scheme.
Computer networks and the internet have taken an important role in modern society. Together with their development, the need for digital video transmission over these networks has grown. To cope with the user demands ...
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ISBN:
(纸本)0819454966
Computer networks and the internet have taken an important role in modern society. Together with their development, the need for digital video transmission over these networks has grown. To cope with the user demands and limitations of the network, compression of the video material has become an important issue. Additionally, many video-applications require flexibility in terms of scalability and complexity (e.g. HD/SD-TV, video-surveillance). Current ITU-T and ISO/IEC video compression standards (MPEG-x, H.26-x) lack efficient support for these types of scalability. Wavelet-based compression techniques have been proposed to tackle this problem, of which the Motion Compensated Temporal Filtering (MCTF)-based architectures couple state-of-the-art performance with full (quality, resolution, and frame-rate) scalability. However, a significant drawback of these architectures is their high complexity. The computational and memory complexity of both spatial domain (SD) MCTF and in-band (IB) MCTF video codec instantiations are examined in this study. Comparisons in terms of complexity versus performance are presented for both types of codecs. The paper indicates how complexity scalability can be achieved in such video-codecs, and analyses some of the trade-offs between complexity and coding performance. Finally, guidelines on how to implement a fully scalable video-codec that incorporates quality, temporal, resolution and complexity scalability are proposed.
With the development of general-purpose processors (GPP) and video signal processing algorithms, it is possible to implement a software-based real-time video encoder on GPP, and its low cost and easy upgrade attract d...
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With the development of general-purpose processors (GPP) and video signal processing algorithms, it is possible to implement a software-based real-time video encoder on GPP, and its low cost and easy upgrade attract developers' interests to transfer video encoding from specialized hardware to more flexible software. In this paper, the encoding structure is set up first to support complexity scalability; then a lot of high performance algorithms are used on the key time-consuming modules in coding process; finally, at programming level, processor characteristics are considered to improve data access efficiency and processing parallelism. Other programming methods such as lookup table are adopted to reduce the computational complexity. Simulation results showed that these ideas could not only improve the global performance of video coding, but also provide great flexibility in complexity regulation.
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