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

Leuven, Sebastiaan Van; Cock, Jan De; Wallendael, Glenn Van; Walle, Rik Van de; Garrido-Cantos, Rosario; Martínez, José Luis; Cuenca, Pedro

doi:10.1109/icdsp.2011.6004890

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…This hybrid architecture combines an open-loop transcoder [6] and an optimized closedloop transcoder [8]. The mode decision complexity of the closed-loop transcoding is reduced based on previous analysis [9], [10].…”

Section: Proposed Systemmentioning

confidence: 99%

Complexity scalable H.264/AVC-to-SVC transcoding

Leuven

Cock

Wallendael

et al. 2013

2013 IEEE International Conference on Consumer Electronics (ICCE)

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Transcoding techniques require a high complexity and reduce the video quality with every transcoding step. When transcoding an input bitstream to scalable video coding (SVC), only one adaptation step is required and a scaled bitstream is extractable afterwards. To reduce the H.264/AVC-to-SVC transcoding complexity, we propose a transcoding architecture which combines optimized closed-and open-loop transcoding techniques. This transcoder scales the complexity depending on the available resources. Relative to a cascaded decoder-encoder the complexity can be reduced by 99.28%, while a high rate distortion efficiency is maintained and a high degree of scalability guaranteed.

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Section: Proposed Systemmentioning

confidence: 99%

Complexity scalable H.264/AVC-to-SVC transcoding

Leuven

Cock

Wallendael

et al. 2013

2013 IEEE International Conference on Consumer Electronics (ICCE)

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“…Some of the proposals related to quality-SNR scalability are described in [5,[25][26][27]. There are few related to spatial [20] and temporal scalability [2,7,[9][10][11].…”

Section: Related Workmentioning

confidence: 99%

Temporal video transcoding from H.264/AVC-to-SVC for digital TV broadcasting

et al. 2015

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Mobile digital TV environments demand flexible video compression like scalable video coding (SVC) because of varying bandwidths and devices. Since existing infrastructures highly rely on H.264/AVC video compression, network providers could adapt the current H.264/AVC encoded video to SVC. This adaptation needs to be done efficiently to reduce processing power and operational cost. This paper proposes two techniques to convert an H.264/AVC bitstream in Baseline (P-pictures based) and Main Profile (B-pictures based) without scalability to a scalable bitstream with temporal scalability as part of a framework for low-complexity video adaptation for digital TV broadcasting. Our approaches are based on accelerating the interprediction, focusing on reducing the coding complexity of mode decision and motion estimation tasks of the encoder stage by using information available after the H.264/AVC decoding stage. The results show that

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“…This method is based on the relation between the modes of H.264/AVC, the base layer of SVC, and the enhancement layers of SVC. Then, in 2011, Van Leuven et al proposed two techniques to improve the previous proposals [20,21]. These methods are based on the same concepts as [19], but improved the results.…”

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

Cited by 5 publications

References 7 publications

Complexity scalable H.264/AVC-to-SVC transcoding

Complexity scalable H.264/AVC-to-SVC transcoding

Temporal video transcoding from H.264/AVC-to-SVC for digital TV broadcasting

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

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