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Quality Assessment of Natural Videos

Quality Assessment of Natural Videos
自然视频的质量评估
批准号:
0728748
负责人:
Alan Bovik
金额:
$27.28万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2011-08-31

项目摘要

项目成果

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相关文献

中文摘要
翻译
互联网和现代手持通信设备的到来,正在数字视频技术和产品的消费方面引发一场非凡的革命,并由此导致全球信息基础设施的性质和需求发生翻天覆地的变化。数字视频采集、网络、存储和显示设备已经发展到非常复杂的程度,导致许多流行的和全球部署的网络应用迅速崛起,如互联网视频、交互式视频点播(VoD)、视频远程呈现、视频电话、pda和其他无线视频设备、视频监控、高清电视、数字影院等。监控和控制广播视频流的质量对提高服务质量(QoS)至关重要。然而,在执行可靠的视频质量分析方法方面的进展仍然相当有限。本文提出的研究将创建强大的视频质量评估(VQA)算法,这些算法与视觉感知高度相关。拟议研究的预期效益是深远的。改进视频服务质量(QoS)的方法是世界范围内电缆、半导体、移动电话和网络行业的主要重点,并且在这个主题上花费了大量的努力。成功的VQA算法很可能部署在全球有线和无线通信网络以及视频采集和显示设备中。视频质量的突破性理论将使基于感知标准的视频处理算法的设计成为可能——这是成像科学几十年来的圣杯。
英文摘要
The arrival of the Internet and modern handheld communication devices is ushering in a remarkable revolution in the consumption of digital video technologies and products, and a resulting sea change in the nature and needs of the global information infrastructure. Digital video acquisition, networking, storage and display devices have advanced to an extraordinary degree of sophistication, leading to the rapid rise of many popular and globally deployed networked applications as Internet Video, Interactive Video on Demand (VoD), Video Telepresence, Video Phones, PDAs and other Wireless Video devices, Video Surveillance, HDTV, Digital Cinema etc. Monitoring and controlling the quality of broadcast video streams is essential towards improving quality of service (QoS). Yet, progress in methods for performing reliable video quality analysis has remained quite limited. The research proposed here will create powerful Video Quality Assessment (VQA) algorithms that correlate highly with visual perception. The expected benefits of the proposed research are far-reaching. Methods for improving video Quality of Service (QoS) are a major emphasis of the world-wide cable, semiconductor, cell phone, and networking industries and considerable efforts are being expended on this topic. Successful VQA algorithms are likely to be deployed throughout the global wireline and wireless communication networks as well as in video acquisition and display devices. Breakthrough theories of video quality will enable the design of algorithms for video processing based on perceptual criteria - a decades-old holy grail of imaging science.
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RI: Small: Tasking on Natural Image Statistics: 2D and 3D Object and Category Detection in the Wild
  • 批准号:
    1526423
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $44.19万
  • 财政年份:
    2015
  • 负责人:
    Alan Bovik
  • 依托单位:
RI: Small: Intelligent Autonomous Video Quality Agents
  • 批准号:
    1116656
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.99万
  • 财政年份:
    2011
  • 负责人:
    Alan Bovik
  • 依托单位:
II-New: High-Definition and Immersive Acquisition, Processing, and Display Equipment for Video Processing and Vision Science Research and Education
  • 批准号:
    0854904
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.59万
  • 财政年份:
    2009
  • 负责人:
    Alan Bovik
  • 依托单位:
ITR: Foundations of Visual Search
  • 批准号:
    0427372
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2004
  • 负责人:
    Alan Bovik
  • 依托单位:
国内基金
海外基金
基于重要农地保护LESA(Land Evaluation and Site Assessment)体系思想的高标准基本农田建设研究
  • 批准号:
    41340011
  • 项目类别:
    专项基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2013
  • 负责人:
    钱凤魁
  • 依托单位: