A fast HEVC transcoder based on content modeling and early termination

Peixoto, Eduardo; Macchiavello, Bruno; Hung, Edson M.; Queiroz, Ricardo L. de

doi:10.1109/icip.2014.7025512

Cited by 10 publications

(7 citation statements)

References 19 publications

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“…Generally, the proposed approach gets better speed-ups for sequences with complex motion activities, such as RaceHorses and Keiba, and worse speedups for sequences with simple motion activities and high intra modes proportion, like Mobisode2 and Flowervase. Finally, the proposed approach achieves an average speed-up (7.89x) better than related approaches, such as Chen et al [11] (1.79x), Jiang et al [4] (2.00x) and Peixoto et al [5] (3.83x), for instance. …”

Section: Resultsmentioning

confidence: 80%

“…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%

“…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]. To achieve better performances, Peixoto et al exploit HEVC information in addition to extracted H.264 information [5]. Their proposed approach uses a linear discriminant model based on H.264 features to determine if a CU must be split.…”

Section: Introductionmentioning

confidence: 99%

“…To reduce the computational complexity of motion estimation, Peixoto et al select the best H.264 MV in the current CU and refine this MV at half and quarter pixel precisions [5]. 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].…”

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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Section: Resultsmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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“…To improve performance, other approaches exploit HEVC information in addition to H.264 information. For example, Peixoto et al build a statistical model of HEVC rate distortion (RD) cost to establish mode-specific thresholds [5]. When the RD cost for a candidate mode is below its corresponding threshold, the rate distortion optimization (RDO) process ends.…”

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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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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A systematic literature review on video transcoding acceleration: challenges, solutions, and trends

Borges,

Zatt,

Porto

et al. 2024

Multimed Tools Appl

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A fast HEVC transcoder based on content modeling and early termination

Cited by 10 publications

References 19 publications

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

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

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

A systematic literature review on video transcoding acceleration: challenges, solutions, and trends

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