Architectures for Fast Transcoding of H.264/AVC to Quality-Scalable SVC Streams

Cock, Jan De; Notebaert, Stijn; Lambert, Peter; Walle, Rik Van de

doi:10.1109/tmm.2009.2030606

Cited by 48 publications

(28 citation statements)

References 18 publications

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“…It is based on combining the forward and inverse quantization processes. Later, in 2009, De Cock et al [18] presented different open-loop architectures for transcoding from a single-layer H.264/AVC bitstream to SNR-scalable SVC streams with CGS layers. In 2010, Van Wallendael et al [19] proposed a simple closed-loop architecture that reduces the time of the mode decision process.…”

Section: Mode Decision Processmentioning

confidence: 99%

Low-complexity transcoding algorithm from H.264/AVC to SVC using data mining

Garrido-Cantos

Cock

Martínez

et al. 2013

EURASIP J. Adv. Signal Process.

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Nowadays, networks and terminals with diverse characteristics of bandwidth and capabilities coexist. To ensure a good quality of experience, this diverse environment demands adaptability of the video stream. In general, video contents are compressed to save storage capacity and to reduce the bandwidth required for its transmission. Therefore, if these compressed video streams were compressed using scalable video coding schemes, they would be able to adapt to those heterogeneous networks and a wide range of terminals. Since the majority of the multimedia contents are compressed using H.264/AVC, they cannot benefit from that scalability. This paper proposes a low-complexity algorithm to convert an H.264/AVC bitstream without scalability to scalable bitstreams with temporal scalability in baseline and main profiles by accelerating the mode decision task of the scalable video coding encoding stage using machine learning tools. The results show that when our technique is applied, the complexity is reduced by 87% while maintaining coding efficiency.

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Section: Mode Decision Processmentioning

confidence: 99%

Low-complexity transcoding algorithm from H.264/AVC to SVC using data mining

Garrido-Cantos

Cock

Martínez

et al. 2013

EURASIP J. Adv. Signal Process.

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“…Since quality is of utmost importance in broadcasting, we focus on CGS quality layers. In [4] an H.264/AVC-to-SVC transcoder applying CGS by using open-loop architectures has been presented. The open-loop architectures imply that motion compensated macroblocks are not adapted if the referenced macroblocks are modified, which will result in drift errors.…”

Section: Related Workmentioning

confidence: 99%

“…As was pointed out in Section 2, an open-loop transcoding mechanism for H.264/AVC-to-SVC with quality scalability has already been proposed [4]. Since the open-loop transcoding only applies an entropy decoding, dequantisation and requantisation step, the required complexity is very low.…”

Section: Open-loop Transcodingmentioning

confidence: 99%

A low-complexity closed-loop H.264/AVC to quality-scalable SVC transcoder

Leuven

Cock

Wallendael

et al. 2011

2011 17th International Conference on Digital Signal Processing (DSP)

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Efficient broadcasting of video content to end-users often requires one or more adaptations of the bitstream, due to varying network conditions and different end-user device characteristics. To ensure a high quality of experience for all end-users, the highest possible quality of the bitstream and, contradictory, connectivity for low bandwidth devices should be guaranteed. H.264/AVC allows only a single (high quality) bitstream. Therefore, the lower bit rates need adaptations of the input bitstream, requiring processing power, delay and energy. By transcoding the existing H.264/AVC bitstream to SVC, bit rate adaptations can be efficiently performed in the network. Consequently, only the cost of one transcoding step is required.To ensure optimal transcoding, we present a low-complexity solution for transcoding H.264/AVC bitstreams to SVC. The proposed system can be applied in a broadcasting environment, since less than 10% of the normal transcoding complexity is needed, while coding efficiency is maintained.

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“…Although it was the first work in this type of transcoding, does not have a great relevance since this technique for providing quality-SNR scalability was removed from the following versions of the standard due to its high computational complexity. In [11], different architectures for transcoding from single layer H.264/AVC bitstream to SNR scalable SVC streams with Coarse-Grain Scalability (CGS) layers were proposed that depends on the macroblock type. Moreover, the normative bitstream rewriting process implemented in SVC standard to convert SVC to H.264/AVC bitstream is used to reduce the computational complexity of the proposed architectures.…”

Section: Related Workmentioning

confidence: 99%

Video adaptation for mobile digital television

et al. 2010

Self Cite

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Abstract-Mobile digital television is one of the new services introduced recently by telecommunications operators in the market. Due to the possibilities of personalization and interaction provided, together with the increasing demand of this type of portable services, it would be expected to be a successful technology in near future. Video contents stored and transmitted over the networks deployed to provide mobile digital television need to be compressed to reduce the resources required. The compression scheme chosen by the great majority of these networks is H.264/AVC. Compressed video bitstreams have to be adapted to heterogeneous networks and a wide range of terminals. To deal with this problem scalable video coding schemes were proposed and standardized providing temporal, spatial and quality scalability using layers within the encoded bitstream. Because existing H.264/AVC contents cannot benefit from scalability tools, efficient techniques for migration of singlelayer to scalable contents are desirable for supporting these mobile digital television systems. This paper proposes a technique to convert from single-layer H.264/AVC bitstream to a scalable bitstream with temporal scalability. Applying this approach, a reduction of 60% of coding complexity is achieved while maintaining the coding efficiency.

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Architectures for Fast Transcoding of H.264/AVC to Quality-Scalable SVC Streams

Cited by 48 publications

References 18 publications

Low-complexity transcoding algorithm from H.264/AVC to SVC using data mining

Low-complexity transcoding algorithm from H.264/AVC to SVC using data mining

A low-complexity closed-loop H.264/AVC to quality-scalable SVC transcoder

Video adaptation for mobile digital television

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