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:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
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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**
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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: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:2016
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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: