Reduced complexity H.264/AVC transrating based on frequency selectivity for high-definition streams

Deknudt, Christophe; Corlay, Patrick; Bacquet, Anne-Sophie; Zwingelstein-Colin, Marie; Coudoux, François-Xavier

doi:10.1109/tce.2010.5681124

Cited by 8 publications

(8 citation statements)

References 12 publications

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“…Six commonly used test sequences were used (Harbour, Ice, Rushhour, Soccer, Station, and Tractor). Each test sequence was encoded as an H.264/AVC bitstream with an intra-period of 16 [17] and shows that the subpixel motion compensation has a higher effect on the visual drift artifacts rather than the QP. However, to evaluate the ability to perform transrating to different bit rates, multiple QP values have been evaluated.…”

Section: Resultsmentioning

confidence: 99%

“…When users are watching different video streams, and only one user is requesting a stream, there is no need to use SVC as long as a stable network is available. Such a transrating architecture [16] can not scale the complexity depending on the number of transcoded bitstreams. Furthermore, a transrater does not generate an SVC bitstream that allows to exploit the advantages of SVC in the network.…”

Section: Transratingmentioning

confidence: 99%

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A complexity-scalable hybrid H.264/AVC-to-SVC transcoder

Leuven

Cock

Wallendael

et al. 2013

IEEE Trans. Consumer Electron.

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Transcoding of H.264/AVC bitstreams is frequently used for adapting video streams to varying network conditions or different end-user device characteristics. Transcoding requires a relatively high complexity (and thus high operational cost) for each adaptation operation, and possibly reduces the video quality. In comparison, transcoding the input bitstream to SVC requires only one adaptation step. Afterwards, the resulting SVC bitstream can be adapted instantly. To reduce the H.264/AVC-to-SVC transcoding complexity, a transcoding architecture which combines existing open-loop transcoding techniques with optimized closed-loop transcoding is proposed. Furthermore, this approach allows to scale the complexity of the system. Doing so, compared with a cascaded decoder-encoder only 8.48% of the complexity is required for the highest complexity, while a high rate-distortion efficiency is maintained and a high degree of scalability is guaranteed. When only limited resources are available, the transcoding complexity can be scaled such that over 99% of the complexity is reduced compared to a cascaded decoder-encoder 1 .

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Section: Resultsmentioning

confidence: 99%

Section: Transratingmentioning

confidence: 99%

A complexity-scalable hybrid H.264/AVC-to-SVC transcoder

Leuven

Cock

Wallendael

et al. 2013

IEEE Trans. Consumer Electron.

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“…Several novelties have been introduced in the proposed solution compared to the one described in [5], which was based on the MPEG2 standard: first, the new H.264/AVC video coding tools such as intra prediction or more efficient context-adaptive variable length coding algorithms should be carefully taken into account. Consequently it leads us to develop a new H.264/AVC transrating scheme already presented in [9,10] which is proving to be more complex to implement than in the MPEG-2 case. Moreover, the transrating algorithm has been developed with respects to low complexity constraints as it must be integrated directly into the central office in the context of high-definition video delivery scenarios, and a new rate-distortion modeling of the transrating performances has been proposed.…”

Section: B the Proposed Solutionmentioning

confidence: 99%

Extending Coverage of High Definition TV Services over ADSL2 with Optimized Reception Quality using H.264/AVC Transrating

Bacquet-Descamps¹,

Corlay

Coudoux

et al. 2012

JCOMSS

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In this paper, we present a new Joint Source-Channel Coding (JSCC) architecture to extend the coverage of H.264/AVC High Definition (HD) video delivery over Digital Subscriber Line (DSL). The proposed solution combines low complexity H.264/AVC transrating as well as multi-carrier transmission and takes into account realistic ADSL2 specifications including all OSI layers. Both transrating and bit and power loading transmission parameters are automatically optimized in terms of end-user perceived quality, with respect to the characteristics of the given subscriber’s loop. Several originalities have been included: a new optimization algorithm has been developed, as well as a full rate-distortion modelling of the H.264/AVC transrater’s performances. Simulation results show that the proposed solution can extend the coverage area of HD video delivery up to more than one kilometre. It should allow the widespread distribution of HD video contents and increase the number of eligible subscribers.

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“…An alternative to requantization, which is called DCT coefficient dropping or dynamic rate shaping, directly cuts high-frequency coefficients from each macroblock [6]. More recently, different bit rate adaption methods have been proposed for H.264/AVC bitstreams [7]- [10]. An efficient mixed transrating architecture containing a low complexity scheme combined with a drift cancelling closed-loop scheme was proposed in [8].…”

Section: Introductionmentioning

confidence: 99%

Efficient Bit Rate Transcoding for High Efficiency Video Coding

Van

Praeter

Wallendael

et al. 2016

IEEE Trans. Multimedia

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Abstract-High efficiency video coding (HEVC) shows a significant advance in compression efficiency and is considered to be the successor of H.264/AVC. To incorporate the HEVC standard into real-life network applications and a diversity of other applications, efficient bit rate adaptation (transrating) algorithms are required. A current problem of transrating for HEVC is the high computational complexity associated with the encoder part of such a cascaded pixel domain transcoder. This paper focuses on deriving an optimal strategy for reducing the transcoding complexity with a complexity-scalable scheme. We propose different transcoding techniques which are able to reduce the transcoding complexity in both CU and PU optimization levels. At the CU level, CUs can be evaluated in top-to-bottom or bottom-to-top flows, in which the coding information of the input video stream is utilized to reduce the number of evaluations or to early terminate certain evaluations. At the PU level, the PU candidates are adaptively selected based on the probability of PU sizes and the co-located input PU partitioning. Moreover, with the use of different proposed methods, a complexity-scalable transrating scheme can be achieved. Furthermore, the transcoding complexity can be effectively controlled by the machine learning based approach. Simulations show that the proposed techniques provide a superior transcoding performance compared to the state-of-the-art related works. Additionally, the proposed methods can achieve a range of trade-offs between transrating complexity and coding performance. From the proposed schemes, the fastest approach is able to reduce the complexity by 82% while keeping the bitrate loss below 3%.Index Terms-Bit rate adaptation, complexity scalable transcoding, high efficiency video coding (HEVC), machine learning.

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Reduced complexity H.264/AVC transrating based on frequency selectivity for high-definition streams

Cited by 8 publications

References 12 publications

A complexity-scalable hybrid H.264/AVC-to-SVC transcoder

A complexity-scalable hybrid H.264/AVC-to-SVC transcoder

Extending Coverage of High Definition TV Services over ADSL2 with Optimized Reception Quality using H.264/AVC Transrating

Efficient Bit Rate Transcoding for High Efficiency Video Coding

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