A Fast PU Mode Decision Algorithm for H.264/AVC to HEVC Transcoding

Fang, Jiunn-Tsair; Chen, Zong-Yi; Liao, Tsai-Ling; Chang, Pao-Chi

doi:10.5121/csit.2014.4218

Cited by 7 publications

(6 citation statements)

References 6 publications

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“…Hence, several works propose different mode reduction techniques since the computational complexity greatly depends on mode evaluation [3]- [14]. Some of them perform a mapping between the H.264 decoded information and the HEVC modes to evaluate.…”

Section: Introductionmentioning

confidence: 99%

“…Some of them perform a mapping between the H.264 decoded information and the HEVC modes to evaluate. For example, Fang et al propose heuristics based on H.264 modes, motion vectors (MVs) variance and encoded residual to determine a list of candidate HEVC modes [3]. Jiang et al adapt the CTU depth search range according to H.264 encoded bits, and eliminate unpromising partitioning structures by an MV clustering method [4].…”

Section: Introductionmentioning

confidence: 99%

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Efficient H.264-to-HEVC Transcoding Based on Motion Propagation and Post-Order Traversal of Coding Tree Units

Franche

Coulombe

2018

IEEE Trans. Circuits Syst. Video Technol.

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In this paper, we propose a fast H.264-to-HEVC transcoder composed of a motion propagation algorithm and a fast mode decision framework. The motion propagation algorithm creates a motion vector candidate list at the coding tree unit (CTU) level and, thereafter, selects the best candidate at the prediction unit level. This method eliminates computational redundancy by pre-computing the prediction error of each candidate at the CTU level and reusing the information for various partition sizes. The fast mode decision framework is based on a post-order traversal of the CTU, and includes several mode reduction techniques. In particular, the framework permits the early termination of the rate distortion cost computation, a highly complex task, when a mode is unpromising. Moreover, a novel method exploits the data created by the motion propagation algorithm to determine whether a coding unit (CU) must be split. This allows the pruning of unpromising sub-partitions. Compared to a cascaded pixel-domain transcoding approach, the experimental results show that the proposed solution using one reference frame is on average 8.5 times faster, for an average BD-Rate of 2.63%. For a configuration with 4 reference frames, the average speed-up is 11.77x and the average BD-Rate is 3.82%.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient H.264-to-HEVC Transcoding Based on Motion Propagation and Post-Order Traversal of Coding Tree Units

Franche

Coulombe

2018

IEEE Trans. Circuits Syst. Video Technol.

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“…Several fast mode decision approaches have been proposed in the literature [3][4][5][6][7][8][9][10][11][12]. For example, Fang et al use H.264 modes, encoded residual and variance of motion vectors (MVs) to skip some prediction unit (PU) modes [3].…”

Section: Introductionmentioning

confidence: 99%

“…For example, Fang et al use H.264 modes, encoded residual and variance of motion vectors (MVs) to skip some prediction unit (PU) modes [3]. Jiang et al use the number of H.264 bits to decide the searching depth range of a coding tree unit (CTU) and determine the coding unit (CU) and PU modes to be tested by an H.264 MV clustering method [4].…”

Section: Introductionmentioning

confidence: 99%

“…Shen et al select the H.264's dominant MV as a starting point, and refine this MV with a search range of 4 pixels [10]. Other authors propose to use a dynamic search range [3,8]. For example, Zong et al use the advanced motion vector prediction (AMVP) as a starting point, and define the search range as the distance between this point and the H.264's dominant MV [8].…”

Section: Introductionmentioning

confidence: 99%

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Fast H.264 to HEVC transcoder based on post-order traversal of quadtree structure

Franche

Coulombe

2015

2015 IEEE International Conference on Image Processing (ICIP)

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In this paper, we propose a fast mode decision framework and a fast motion estimation algorithm for H.264 to High Efficiency Video Coding (HEVC) transcoding. The fast mode decision framework employs a post-order (bottom-up) traversal of the coding tree unit (CTU) quadtree. Based on this traversal and H.264 information, several strategies are proposed to reduce HEVC modes to be tested and a ratedistortion (RD) cost prediction model is used to terminate the processing of a tested mode early. The proposed fast motion estimation algorithm selects the best candidate from a list of H.264 motion vectors (MVs) and previously encoded HEVC MVs. Compared to a full re-encoding, experimental results show that the proposed solution achieves speed-ups of up to 12.75x, for an average BD-Rate of 3.28%.

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Transcoding or not? — A study of quantization configuration for H.264-to-HEVC transcoding

Huang

Lin

Chang

2017

2017 IEEE 6th Global Conference on Consumer Electronics (GCCE)

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A Fast PU Mode Decision Algorithm for H.264/AVC to HEVC Transcoding

Cited by 7 publications

References 6 publications

Efficient H.264-to-HEVC Transcoding Based on Motion Propagation and Post-Order Traversal of Coding Tree Units

Efficient H.264-to-HEVC Transcoding Based on Motion Propagation and Post-Order Traversal of Coding Tree Units

Fast H.264 to HEVC transcoder based on post-order traversal of quadtree structure

Transcoding or not? — A study of quantization configuration for H.264-to-HEVC transcoding

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