Portable video-on-demand in wireless communication

Meng, Tao; Gordon, Benjamin M.; Tsern, E.K.; Hung, A.C.

doi:10.1109/5.371972

Cited by 88 publications

(17 citation statements)

References 28 publications

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“…Typical and successful examples of such type of applications are video and music players [59,117,124], three-dimensional games [45,104,122] or Voice-Over-IP (VOIP) [121] applications. Nowadays, these new multimedia applications (e.g., MPEG4) include complex algorithms, coded in object-oriented languages (e.g., C++ or Java), and have largely increased the demands of memory and performance of traditional embedded software.…”

Section: Multimedia Applicationsmentioning

confidence: 99%

Dynamic Memory Management for Embedded Systems

Alonso¹,

Mamagkakis

Poucet³

et al. 2015

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Section: Multimedia Applicationsmentioning

confidence: 99%

Dynamic Memory Management for Embedded Systems

Alonso¹,

Mamagkakis

Poucet³

et al. 2015

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“…Off-chip memories, on the other hand, represent a considerable cost in terms of power [23], [24]. Furthermore, accesses to external memories are slow, causing an impediment to the overall speed of the system.…”

Section: Motivation: a One-pass Sequential Coding Is Incompatiblementioning

confidence: 99%

Model-based rate control implementation for low-power video communications systems

Vleeschouwer

2003

IEEE Trans. Circuits Syst. Video Technol.

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This paper focuses on a major requirement of rate control (RC) algorithms when implementing a low-power video coding system: RC must be compatible with a one-pass, sequential and local processing of the frame data. This requirement prevents direct use of the most efficient RC algorithms, i.e., the ones that rely on rate-distortion (R-D) models whose parameters are computed from a pre-analysis of the input frame. The paper proposes to circumvent the problem by predicting the R-D model parameter(s) without accessing the current input frame data. It avoids the pre-analysis stage while keeping the benefit from R-D based rate control. The method is designed and illustrated for standardized and conventional hybrid coding schemes (H.26x, MPEG-x). Specifically, the mean absolute difference (MAD) of the motion prediction error, which is the key R-D model parameter, is predicted before the sequential processing of the input blocks. In order to validate the prediction, the behaviors of rate control systems using either the actual (computed) or the estimated (predicted) MAD parameter are compared.Index Terms-Low power, rate control (RC) system, video coding.

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“…There must be an excellent match between the extracted tasks and the architecture resources: any significant mismatch results in performance loss, a decrease of resource utilization and reduced energy efficiency of the implementation. Second, the memory and bus/communication network on the platform consume a major part of the energy [3][4][5][6], and optimizations reducing this power dissipation are crucial.…”

Section: Introductionmentioning

confidence: 99%

SPRINT: A Tool to Generate Concurrent Transaction-Level Models from Sequential Code

Cockx

Denolf

Vanhoof

et al. 2007

EURASIP J. Adv. Signal Process.

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A high-level concurrent model such as a SystemC transaction-level model can provide early feedback during the exploration of implementation alternatives for state-of-the-art signal processing applications like video codecs on a multiprocessor platform. However, the creation of such a model starting from sequential code is a time-consuming and error-prone task. It is typically done only once, if at all, for a given design. This lack of exploration of the design space often leads to a suboptimal implementation. To support our systematic C-based design flow, we have developed a tool to generate a concurrent SystemC transaction-level model for user-selected task boundaries. Using this tool, different parallelization alternatives have been evaluated during the design of an MPEG-4 simple profile encoder and an embedded zero-tree coder. Generation plus evaluation of an alternative was possible in less than six minutes. This is fast enough to allow extensive exploration of the design space.

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Portable video-on-demand in wireless communication

Cited by 88 publications

References 28 publications

Dynamic Memory Management for Embedded Systems

Dynamic Memory Management for Embedded Systems

Model-based rate control implementation for low-power video communications systems

SPRINT: A Tool to Generate Concurrent Transaction-Level Models from Sequential Code

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