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首页> 外文期刊>Emerging and Selected Topics in Circuits and Systems, IEEE Journal on >Representing Visual Objects in HEVC Coding Loop
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Representing Visual Objects in HEVC Coding Loop

机译：在HEVC编码循环中表示视觉对象

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Different from the previous video coding standards that employ fixed-size coding blocks (and macroblocks), the latest high efficiency video coding (HEVC) introduces a quadtree structure to represent variable-size coding blocks in the coding loop. The main objective of this study is to investigate a novel way to reuse these variable-size blocks to represent the foreground objects in the picture. Towards this end, this paper proposes three methods, i.e., flagging the blocks lying in the object regions flagging compression blocks (FCB), adding an object tree in each Coding Tree Unit to describe the objects' shape in it additional object tree (AOT) and confining the block splitting procedure to fit the object shape confining by shape (CBS). Among them, FCB and CBS add a flag bit in the syntax description of the block to indicate whether it lies in the objects region, while AOT adds a separate quadtree to represent the objects. For all these methods, the additional bits are then fed into the HEVC entropy coding module to compress. As such, the representation of visual objects in the pictures can be implemented in the HEVC coding loop by reusing the variable-size blocks and entropy coding, without additional coding tools. The experiments on six manually-segmented HEVC testing sequences (three in 1080P and three in 720P) demonstrate the feasibility and effectiveness of our proposal. To represent the objects in the 1080P testing sequences, the BD rate increases of FCB, AOT, and CBS over the HEVC anchor are 1.57%, 3.27%, and 5.93% respectively; while for the 720P conference videos, those are 4.57%, 17.23%, and 26.93% (note that the average bitrate of the anchor is only 1009 kb/s).
机译：与以前采用固定大小编码块（和宏块）的视频编码标准不同，最新的高效视频编码（HEVC）引入了四叉树结构来表示编码循环中的可变大小编码块。这项研究的主要目的是研究一种新颖的方法来重用这些可变大小的块来表示图片中的前景对象。为此，本文提出了三种方法，即标记位于对象区域中的块以标记压缩块（FCB），在每个编码树单元中添加一个对象树以在其中描述对象的形状附加对象树（AOT）并限制块分割程序以适合对象形状按形状限制（CBS）。其中，FCB和CBS在块的语法描述中添加标志位以指示其是否位于对象区域中，而AOT添加单独的四叉树来表示对象。对于所有这些方法，然后将附加位馈入HEVC熵编码模块进行压缩。这样，可以通过重用可变大小的块和熵编码，在HEVC编码循环中实现图片中视觉对象的表示，而无需其他编码工具。对六个手动分段的HEVC测试序列（1080P中的三个和720P中的三个）进行的实验证明了我们建议的可行性和有效性。为了表示1080P测试序列中的对象，与HEVC锚点相比，FCB，AOT和CBS的BD速率增加分别为1.57％，3.27％和5.93％。而720P会议视频则分别为4.57％，17.23％和26.93％（请注意，锚点的平均比特率仅为1009 kb / s）。

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