Next Generation Video Coding
Next Generation Video Coding
批准号:
RGPIN-2015-04652
负责人:
Joslin, Chris
金额:
$1.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31
中文摘要
在过去的二十年里,由于高速互联网的广泛可用性和毫不费力地制作数字内容的能力,用于娱乐、会议和教育目的的视频技术的发展步伐大大加快。我们现在可以访问高清可下载视频、高清数字影院以及用于众多应用的高清和多视图视频流内容。大多数应用程序的当前标准是高清或HD(1920 x 1080像素),并朝着超高清或UHD(4096 x 2048像素,通常称为4K及以上)设备和内容发展。
可以处理这种类型内容压缩的最新标准是高效视频编解码器或HEVC(通常称为H.265),并且是基于H.26x方法(或MPEG,取决于开发组)的一长串成功视频编解码器中的最新一个。由于大多数技术主要是基于60年代,70年代和80年代开发的方法的创新,我们建议研究下一代视频编码方法。在这个研究计划中,我们正在研究隐式编码技术(将序列转换为隐式曲线并将其控制点编码为比特流),整体编码技术(尝试对场景进行编码并关注背景/前景对象而不是块)和基于模式的编码(使用预先存在的模式来处理各种类型的信息)的发展。
英文摘要
The advancing pace of video technology for entertainment, conferencing, and educational purposes has increased enormously in the last two decades due to the wide availability of high-speed internet and the ability to effortlessly produce digital content. We now have access to high-definition downloadable video, ultrahigh definition digital cinemas, and high-definition and multi-view video streaming content for numerous applications. The current standard for most applications is high definition or HD (1920 x 1080 pixels), with a moving trend towards ultrahigh-definition or UHD (4096 x 2048 pixels, commonly referred to as 4K, and above) devices and content.
The latest standard available that can handle the compression of this type of content is the High Efficiency Video Codec, or HEVC (more commonly known as H.265) and is the latest in a long line of successful video codecs based on the H.26x methods (or MPEG depending on the development group). As most of the techniques are mainly innovations based on methods developed in the 60’s, 70’s and 80’s we propose to examine the next generation of video coding methods. Within this program of research we are looking at the development of implicit coding techniques (converting sequences into implicit curves and coding their control points into the bit-stream), holistic coding techniques (attempting to code the scene and focusing on background/foreground objects rather than blocks), and pattern-based coding (using pre-existing patterns to various types of information) Here is my summary
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Towards Accurate Detection, Segmentation, and Tracking of Objects and other Scene Attributes
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批准号:RGPIN-2021-04248
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.04万
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财政年份:2022
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负责人:Joslin, Chris
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依托单位:
Towards Accurate Detection, Segmentation, and Tracking of Objects and other Scene Attributes
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批准号:RGPIN-2021-04248
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.04万
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财政年份:2021
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负责人:Joslin, Chris
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依托单位:
Next Generation Video Coding
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批准号:RGPIN-2015-04652
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.6万
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财政年份:2019
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负责人:Joslin, Chris
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依托单位:
Next Generation Video Coding
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批准号:RGPIN-2015-04652
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.6万
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财政年份:2018
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负责人:Joslin, Chris
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依托单位:
Next Generation Video Coding
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批准号:RGPIN-2015-04652
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.6万
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财政年份:2017
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负责人:Joslin, Chris
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依托单位:
Next Generation Video Coding
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批准号:RGPIN-2015-04652
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.6万
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财政年份:2015
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负责人:Joslin, Chris
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依托单位:
Adaptation of dynamically generated content
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批准号:327617-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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财政年份:2014
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负责人:Joslin, Chris
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依托单位:
Adaptation of dynamically generated content
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批准号:327617-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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财政年份:2013
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负责人:Joslin, Chris
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依托单位:
Adaptation of dynamically generated content
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批准号:327617-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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财政年份:2012
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负责人:Joslin, Chris
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依托单位:
Adaptation of dynamically generated content
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批准号:327617-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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财政年份:2011
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负责人:Joslin, Chris
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依托单位:
国内基金
海外基金
Next Generation Majorana Nanowire Hybrids
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批准号:--
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项目类别:--
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资助金额:20万元
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批准年份:2020
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负责人:Panagiotis Kotetes
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依托单位: