Study of an efficient transmission technique for motion-image media based on an optimal-frame-rate estimation

基于最优帧率估计的运动图像媒体高效传输技术研究

基本信息

  • 批准号:
    15500059
  • 负责人:
  • 金额:
    $ 1.86万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 财政年份:
    2003
  • 资助国家:
    日本
  • 起止时间:
    2003 至 2004
  • 项目状态:
    已结题

项目摘要

Since the bit rate of a motion image is a product of the average amount of bits per second(BPF) and the number of frames per second(FPS), these two values are inversely proportional to each other under a bit rate constraint. Therefore, a proper selection of the FPS and BPF is necessary in a efficient transmission of a target motion image with a limited bandwidth. The head investigator of this research has considered this problem and has proposed a fundamental technique for estimating the optimal FPS for a target image sequence which maximizes the subjective quality of the target sequences under a fixed transmission bit rate. The objective of this research is to develop a detailed algorithm for applying the technique to an actual motion image, and to implement it as an actual motion image encoder (transcoder).We have first developed an algorithm for applying the optimal-frame-rate estimation technique to actual long motion images which consist of numbers of "scenes" having time-varying motion and frame activities. We have also considered a rate control algorithm for a constant-bit-rate encoding to develop a detailed procedure for controlling the rate for time-varying FPSs.Finally, we have implemented the developed algorithms in an MPEG4 encoder to realize a MPEG4-based transcoder, which convert an incoming MPEG4 bit stream to one with a given lower bit rate. Comparisons with a fixed FPS approach have confirmed the effectiveness of the proposed approach.
由于运动图像的比特率是平均每秒比特量(BPF)和每秒帧数(FPS)的乘积,因此这两个值在比特率约束下彼此成反比。因此,FPS和BPF的适当选择在具有有限带宽的目标运动图像的有效传输中是必要的。本研究的首席研究员已经考虑了这个问题,并提出了一个基本的技术,用于估计最佳FPS的目标图像序列,最大限度地提高主观质量的目标序列下的一个固定的传输比特率。本研究的目的是开发一个详细的算法,将该技术应用到一个实际的运动图像,并将其实现为一个实际的运动图像编码器(transcoder)。我们首先开发了一个算法,应用最佳帧速率估计技术,实际长的运动图像,其中包括数量的“场景”具有随时间变化的运动和帧活动。我们还考虑了一个恒定的比特率编码的速率控制算法,开发了一个详细的过程,为控制速率随时间变化的FPSs.Finally,我们已经实现了开发的算法在一个MPEG4编码器,实现基于MPEG4的转码器,它转换一个传入的MPEG4比特流到一个给定的较低的比特率。与固定FPS方法的比较证实了所提出的方法的有效性。

项目成果

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YOSHIDA Toshiyuki其他文献

YOSHIDA Toshiyuki的其他文献

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{{ truncateString('YOSHIDA Toshiyuki', 18)}}的其他基金

Spatio-temporal rate control techniques for very high-frame-rate videos and its application to video coding
超高帧率视频时空码率控制技术及其在视频编码中的应用
  • 批准号:
    18K11370
  • 财政年份:
    2018
  • 资助金额:
    $ 1.86万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Research on optimal spatio-temporal rate control for 4K UHD videos
4K超高清视频最优时空码率控制研究
  • 批准号:
    15K00150
  • 财政年份:
    2015
  • 资助金额:
    $ 1.86万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Research on optimal control for spatio-temporal video quality in scalable video coding
可伸缩视频编码时空视频质量最优控制研究
  • 批准号:
    24500112
  • 财政年份:
    2012
  • 资助金额:
    $ 1.86万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Under the reform of Policies for rice, the coditions and Direct Payment being established to foster paddy field big management bodies
水稻政策改革制定条件和直接支付培育稻田大管理机构
  • 批准号:
    19580257
  • 财政年份:
    2007
  • 资助金额:
    $ 1.86万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Research on an adaptive frame rate control technique and its applications for high-frame-rate motion images
高帧率运动图像自适应帧率控制技术及其应用研究
  • 批准号:
    17500064
  • 财政年份:
    2005
  • 资助金额:
    $ 1.86万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Study of the influence of farming of paddy field and synsthetic agricultural management stabilization measures, under falling in the price of rice and increasing target area of adjusments for rice,
稻价下跌和稻米调整目标面积增加情况下稻田耕作及综合农业管理稳定措施的影响研究
  • 批准号:
    13660225
  • 财政年份:
    2001
  • 资助金额:
    $ 1.86万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Study of techniques for motion image retrieval based on motion information
基于运动信息的运动图像检索技术研究
  • 批准号:
    12650367
  • 财政年份:
    2000
  • 资助金额:
    $ 1.86万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)

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基于位移预测的低帧率视频中的细胞跟踪
  • 批准号:
    10648570
  • 财政年份:
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  • 项目类别:
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适用于交互式应用的高帧率和超低延迟视频传感系统
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  • 财政年份:
    2021
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用于体积血流量测量的新型高帧率 3D 超声工具的设计
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低辐射剂量下高帧率数字减影血管造影序列的估计
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  • 财政年份:
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Enabling High Frame Rate Prostate Cancer Diagnosis
实现高帧率前列腺癌诊断
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