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Fig 1.

A complete CU coding tree in HEVC.

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Fig 1 Expand

Fig 2.

An example of CU mode decision for optimal CU size.

CU64, CU32, CU16, CU08 represent the optimal CU size ranged from depth = 1 to depth = 4.

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Fig 2 Expand

Fig 3.

CU coding tree complexity.

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Fig 3 Expand

Table 1.

Encoding Time Saving (%) under Different CU Coding Tree Structure Compared with HEVC Coding Tree with Depth 4 and CTU Size 64×64.

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Table 1 Expand

Fig 4.

Optimal CU size after coding tree complete traversal for lossless mode with 63% CU size of 16×16, visually lossless mode with 59% CU size of 8×8 and lossy mode with 42% CU size of 32×32.

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Fig 4 Expand

Fig 5.

CU distribution caused by QP offset.

The Nth frame and the (N + 4)th frame have the similar CU distribution.

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Fig 5 Expand

Table 2.

Lossy Encoder Configuration.

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Table 2 Expand

Table 3.

CU distribution probability (%) with various videos and GOPSizes (Traffic: 2160×1600).

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Table 3 Expand

Table 4.

CU distribution probability (%) with various videos and GOPSizes (BQSquare: 416×240).

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Table 4 Expand

Fig 6.

CU distribution probability caused by CC.

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Fig 6 Expand

Table 5.

Performance of Proposed Mechanism Compared with HM15.0 under Low Delay Condition and Random Access Condition.

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Table 5 Expand

Table 6.

Visually Lossless Encoder and Lossless Encoder Configurations under Low Delay Condition.

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Table 6 Expand

Table 7.

Performance of Proposed Method Compared with HM15.0 for Visually lossless Coding and lossless Coding.

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Table 7 Expand