Mode decision acceleration for H.264/AVC to SVC temporal video transcoding

Yeh, Chia Hung; Tseng, Wen Yu; Wu, Su‐Mei

doi:10.1186/1687-6180-2012-204

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…In 2012, Chia-Hung and al. proposed another technique [3] for transcoding from H.264/AVC-to-SVC using probability models and Markov chains and we presented another work adapting [13] for working in Main Profile. The present work extends the evaluation made in [13] using more GOP sizes and combined with [12], presenting all the results for applying this technique to different sequences.…”

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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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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“…Later, in 2011, the previous algorithm was adjusted for the baseline profile and P frames [26]. In 2012, Yeh et al proposed another technique [27] for transcoding from H.264/AVC to SVC using probability models and Markov chains, and we presented another work [28,29] focusing on accelerating the mode decision algorithm, while our previous approaches focused only on motion estimation process. The present work is an extension of these last ones.…”

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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H.264/AVC-to-SVC temporal video transcoder for video broadcasting in wireless networks

Garrido-Cantos

Cock

Martínez

et al. 2014

Multimed Tools Appl

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Over the last few decades multimedia usage has changed dramatically, with networks and terminals of diverse bandwidths and capabilities coexisting. To ensure a good quality of experience, this diverse environment requires adaptability of the video stream. If video streams were compressed using Scalable Video Coding (SVC) schemes, they would be able to adapt to these heterogeneous networks and a wide range of terminals. However, since the majority of multimedia contents are compressed using H.264/AVC, they cannot benefit from this scalability. This paper makes some proposals for improving a temporal H.264/AVC-to-SVC video transcoder so that it can convert an H.264/AVC bitstream without scalability to scalable bitstreams with temporal scalability. The idea behind the proposed transcoder is to accelerate interprediction, focusing on reducing the coding complexity of the mode decision and motion estimation tasks of the encoder stage by using information available after the H.264/AVC decoding stage. To accelerate the mode decision task, a decision tree for narrowing down the Macroblock (MB) types to be checked by the SVC encoder has been developed. On the other hand, to accelerate the motion estimation task, a reduced area is created dynamically for every MB and sub-MB. Moreover, time savings increase considerably when both proposals are adjusted to work together, as opposed to doing so in an isolated way. The results show that when our joint proposal is applied, the complexity is reduced by 98 % while maintaining coding efficiency

show abstract

Mode decision acceleration for H.264/AVC to SVC temporal video transcoding

Cited by 4 publications

References 15 publications

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

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

H.264/AVC-to-SVC temporal video transcoder for video broadcasting in wireless networks

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