General Architecture for MPEG-2/H.263/H.264 to H.264 Inter P Frame Video Transcoding

Lin, Yinyi; Hsu, He-Han

doi:10.1007/s11265-013-0847-y

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…The relationship between log(strain rate) and log (stress) can be described by three order polynomial fitting. Namely the relationship between log(strain rate) and log(stress) can be described as follows: logσ=a+blogε+c(logε) 2 +d( logε) 3 (4) Where the constants a, b, c and d are the material parameters depening on temperature. The flow stress vs. strain rates curves are shown in Fig.…”

Section: Computation Of ηAnd ζ(𝛆̇)mentioning

confidence: 99%

“…The flow stress is the most basic parameters to characterize plastic deformation properties of metals and alloys, and the flow stress of metals determines the load and energy needed during the plastic deformation. Some researchers have discussed the flow stress of aluminum alloy during hot deformation process [2][3][4]. The processing map based on the dynamic materials model(DMM) is considered to be better than Ashbay's map and Raj's map [5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hot Deformation Behavior and Microstructure of 6069 Aluminum Alloy

Jiang

Deng

et al. 2014

MSF

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The deformation behavior and microstructure of 6069 aluminum alloy have been studied by isothermal compression at temperature ranging from 300°C to 450°C on Gleeble-1500 machine at strain rates from 0.01 to 10s-1. The results show that the deformation temperature and strain rate is essential to the flow characteristic, and the main deformation mechanism for 6069 aluminum alloy is dynamic recovery at low strain rates. The dynamic recrystallization take place at the strain rates of 10s-1 and deformation temperature ranges of 300~350°C. At constant strain rate, the flow stress and steady-state flow stress decrease with deformation temperature increasing. While at constant temperature, the flow stress and steady-state flow stress increase with increasing strain rate. The processing map at the strain of 0.7 is obtained and the map exhibits two safe deformation domains (300~350°C at 1~10s-1 and 380~450°C at 0.01~0.3s-1).

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Section: Computation Of ηAnd ζ(𝛆̇)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hot Deformation Behavior and Microstructure of 6069 Aluminum Alloy

Jiang

Deng

et al. 2014

MSF

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“…Another approach is to intra code macroblock or a row of macroblock in a GOP level to limit any potential error propagation. The AIR scheme is a tool of MPEG-4 and H.264/AVC that combines the rate distortion of high motion sensitive frames and the information received from the decoder about the channel condition to suppress error propagation [18][19][20]. With the MVV-AIR, high motion macroblocks (MBs) and bit error (BER) variation in channel are modelled together to generate MVV-AIR refresh map.…”

Section: Introductionmentioning

confidence: 99%

Efficient Adaptive Intra Refresh Error Resilience for 3D Video Communication

Lawan¹,

Adams²,

Ladodo³

2018

IJCSEA

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3D video wireless communication is being repeatedly called upon to play a greater role in the quest for economic and political stability, peace and understanding in the world. However, excessive error propagation in compressed 3D video can dramatically decrease perceived quality of experience (QoE). Recent error control strategies suggested that using adaptive intra refresh (AIR) tool is a good candidate for fulfilling quality of service (QoS) requirements for 3D video transmission over wireless networks. We propose multi-view video AIR (MVV-AIR) based on H.264/advance video coding (AVC) to mitigate transmission error propagation in a two-way communication system. With the MVV-AIR, both high active macroblocks and channel bit error rate (BER)are computed to generate MVV-AIR refresh map. The generated map is used to periodically insert a cyclic intra-refresh line macroblock to suppress spatiotemporal error propagation. Experimental results show that MVV-AIR outperforms traditional refresh scheme in error prone transmission environment with improved objective and subjective visual quality.

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“…To decrease the effect of uncertainty on damage identification, Li et al [8] proposed a damage identification method based on the combination of artificial neural network (ANN), D-S evidence theory-based information fusion technology and the Shannon entropy. Jiang et al [9] addressed a novel hybrid data-fusion system for damage detection by integrating the data fusion technique, probabilistic neural network (PNN) models and measured modal data.…”

Section: Introductionmentioning

confidence: 99%

Structural Damage Localization Using D-S Evidence Theory

Zhao

Zhang

2011

AMM

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Damage localization is a key issue in the Structural Health Monitoring (SHM). In order to enhance the accuracy of damage localization, an approach based on D-S evidence theory is studied in this paper. First, damage results obtained from the modal strain energy change ratio (MSECR) method and the multiple damage location assurance criterion (MDLAC) method are regarded as two independent information sources, respectively. And then, the D-S evidence theory-based information fusion technique is employed to integrate these two results and make a final decision. To compare the damage identification results under different methods, a practical damage evaluation indicator is presented. Numerical study on a cantilever beam is carried out to verify the proposed method. Results indicate that the damage evaluation indicators calculated by D-S evidence theory are superior to the single method. That is to say, structural damage identification method based on D-S evidence theory performs very well in determining the damage locations.

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General Architecture for MPEG-2/H.263/H.264 to H.264 Inter P Frame Video Transcoding

Cited by 3 publications

References 11 publications

Hot Deformation Behavior and Microstructure of 6069 Aluminum Alloy

Hot Deformation Behavior and Microstructure of 6069 Aluminum Alloy

Efficient Adaptive Intra Refresh Error Resilience for 3D Video Communication

Structural Damage Localization Using D-S Evidence Theory

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