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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Xiaoyan Sun</author_name><author_url>https://www.microsoft.com/en-us/research/people/xysun/</author_url><title>CGS quality scalability for HEVC - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="8J0S8ct1vi"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/cgs-quality-scalability-hevc/"&gt;CGS quality scalability for HEVC&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/cgs-quality-scalability-hevc/embed/#?secret=8J0S8ct1vi" width="600" height="338" title="&#x201C;CGS quality scalability for HEVC&#x201D; &#x2014; Microsoft Research" data-secret="8J0S8ct1vi" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>Scalable video coding provides an efficient way to serve video contents at different quality levels. Based on the development of emerging High Efficiency Video Coding (HEVC), we propose two coarse granular scalable (CGS) video coding schemes here. In scheme A, we present a multi-loop solution in which the fully reconstructed base pictures are utilized in [&hellip;]</description></oembed>
