Adaptive Fast Quadtree Level Decision Algorithm for H.264 to HEVC Video Transcoding

Díaz-Honrubia, Antonio Jesús; Martínez, José Luis; Cuenca, Pedro; Gámez, José A.; Puerta, José M.

doi:10.1109/tcsvt.2015.2473299

Cited by 28 publications

(16 citation statements)

References 24 publications

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“…In [7], and in a more complete fashion in [8], it is presented a transcoder based on adaptive fast quadtree level decision (AFQLD). The basic idea is to determine the CU depth using a Bayesian probabilistic model.…”

Section: Avc To Hevc Transcoders In Literaturementioning

confidence: 99%

“…The threshold for decision is computed on line and both information from HEVC and H.264 stream are used in the Bayesian model. The core of the algorithm consists in a data-driven classifier that decider whether splitting or not the current HEVC CU based on a suitable set of features, among which the QP, the characteristics of the residual, the cost function values of the coding modes, see [8] for more details.…”

Section: Avc To Hevc Transcoders In Literaturementioning

confidence: 99%

“…Under a random access configuration, reference results are only available for three techniques: two of them, MVVD and LDF, have been proposed by Peixoto et al in [19]; a third one has been introduced by Diaz-Onrubia et al in [8]. Indeed, the results of the MVRT and RFA transcoders in this configuration are not available in the respective papers.…”

Section: Random Access Configurationmentioning

confidence: 99%

“…In the mode mapping category, AVC information is used by the HEVC encoder to decide to either skip some coding modes / partition size tests, or to stop the quadtree splitting operation [4,5,8,18,26]. In the motion vector reuse schemes, the motion estimation process within Inter tests is simplified by skipping some positions to test using decoded AVC motion information [13,17,19,20,27].…”

Section: Introductionmentioning

confidence: 99%

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AVC to HEVC transcoder based on quadtree limitation

Mora

Cagnazzo

Dufaux

2016

Multimed Tools Appl

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Following the finalization of the state-of-the-art High Efficiency Video Coding (HEVC) standard in January 2013, several new services are being deployed in order to take advantage of the superior coding efficiency (estimated at 50 % less bitrate for the same visual quality) that this standard provides over its predecessor: H.264 / Advanced Video Coding (AVC). However, the switch from AVC to HEVC is not trivial as most video content is still encoded in AVC. Consequently, there is a growing need for fast AVC to HEVC transcoders in the market today. While a trivial transcoder can be made by simply cascading an AVC decoder and an HEVC encoder, fast transcoding cannot be achieved. In this paper, we present an AVC to HEVC transcoder where decoded AVC blocks are first fused according to their motion similarity. The resulting fusion map is then used to limit the quadtree of HEVC coded frames. AVC motion vectors are also used to determine a better starting point for integer motion estimation. Experimental results show that significant transcoder execution time savings of 63 % can be obtained with only a 1.4 % bitrate increase compared to the trivial transcoder.

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Section: Avc To Hevc Transcoders In Literaturementioning

confidence: 99%

Section: Avc To Hevc Transcoders In Literaturementioning

confidence: 99%

Section: Random Access Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

AVC to HEVC transcoder based on quadtree limitation

Mora

Cagnazzo

Dufaux

2016

Multimed Tools Appl

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“…They achieved a 2.5×-3.0× speed gain with a BD-rate [18] loss between 2.95% and 4.42% by the proposed PT-LDF method. Diaz-Honrubia et al [19] proposed an H.264/AVC to hevc transcoder based on a statistical NB classifier, which decides on the most appropriate quadtree level in the HEVC encoding process. Their algorithms achieved a speedup of 2.31× on average with a BD-rate penalty of 3.4%.…”

Section: Related Workmentioning

confidence: 99%

Efficient Software HEVC to AVS2 Transcoding

2016

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Abstract:The second generation of Audio and Video coding Standard (AVS) is developed by the IEEE 1857 Working Group under project 1857.4 and was standardized in 2016 by the AVS Working Group of China as the new broadcasting standard AVS2. High Efficient Video Coding (HEVC) is the newest global video coding standard announced in 2013. More and more codings are migrating from H.264/AVC to HEVC because of its higher compression performance. In this paper, we propose an efficient HEVC to AVS2 transcoding algorithm, which applies a multi-stage decoding information utilization framework to maximize the usage of the decoding information in the transcoding process. The proposed algorithm achieves 11×-17× speed gains over the AVS2 reference software RD 14.0 with a modest BD-rate loss of 9.6%-16.6%.

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