Adding SVC Spatial Scalability to Existing H.264/AVC Video

Sachdeva, Ravin; Johar, Sumit; Piccinelli, Emiliano

doi:10.1109/icis.2009.128

Cited by 22 publications

(13 citation statements)

References 8 publications

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“…To have a common ground of comparison, only techniques are considered which are able to transcode towards a quality scalable bitstream. Consequently, we will not compare our system with [2] and [3] since these techniques do not provide such a fine granularity of the rate points of the resulting SVC bitstream.…”

Section: Comparison With Existing Techniquesmentioning

confidence: 99%

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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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Section: Comparison With Existing Techniquesmentioning

confidence: 99%

“…Temporal H.264/AVC-to-SVC transcoding has been considered in [2], while spatial transcoding has been investigated in [3]. For quality scalability, coarse-grain scalability (CGS) and medium-grain scalability (MGS) can be used.…”

Section: Related Workmentioning

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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show abstract

“…For spatial scalability, a proposal was presented in [12]. It presented an algorithm for converting a single layer H.264/AVC bitstream to a multi-layer spatially scalable SVC video bitstream, containing layers of video with different spatial resolution.…”

Section: Related Workmentioning

confidence: 99%

Video adaptation for mobile digital television

et al. 2010

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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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“…Newly developed works include AVC/SVC temporal transcoding [22], quality transcoding [23]- [26], and SVC-to-AVC spatial transcoding [27]. AVC-to-SVC spatial transcoding has not been fully investigated in existing literatures except for [28] which integrates some existing techniques and achieves about 2/3 time reduction. However, the PSNR (Peak Signal-to-Noise Ratio) drops about 1 dB at the same bit-rate compared with re-encoding method for many cases, probably due to the introduced inter-layer prediction, non-optimal mode decision and proportional MV scaling.…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity Coarse-Level Mode-Mapping Based H.264/AVC to H.264/SVC Spatial Transcoding for Video Conferencing

Sun

Leng

et al. 2012

IEICE Trans. Inf. & Syst.

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SUMMARYScalable Video Coding (SVC) was standardized as an extension of H.264/AVC with the intention to provide flexible adaptation to heterogeneous networks and different end-user requirements, which provides great scalability in multi-point applications such as video conferencing. However, due to the existence of H.264/AVC-based systems, transcoding between AVC and SVC becomes necessary. Most existing works focus on temporal transcoding, quality transcoding or SVC-to-AVC spatial transcoding while the straightforward re-encoding method requires high computational cost. This paper proposes a low-complexity AVC-to-SVC spatial transcoder based on coarse-level mode mapping for video conferencing scenes. First, to omit unnecessary motion estimations (ME) for layers with reduced resolution, an ME skipping scheme based on AVC mode distribution is proposed with an adaptive search range. Then a probabilityprofile based scheme is proposed for further mode skipping. After that 3 coarse-level mode-mapping methods are presented for fast mode decision and the adaptive usage of the 3 methods is discussed. Finally, motion vector (MV) refinement is introduced for further lower-layer time reduction. As for the top layer, direct encapsulation is proposed to preserve better quality and another scheme involving inter-layer predictions is also provided for bandwidth-crucial applications. Simulation results show that proposed transcoder achieves up to 92.6% time reduction without significant coding efficiency loss compared to re-encoding method.

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Adding SVC Spatial Scalability to Existing H.264/AVC Video

Cited by 22 publications

References 8 publications

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

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

Video adaptation for mobile digital television

Low-Complexity Coarse-Level Mode-Mapping Based H.264/AVC to H.264/SVC Spatial Transcoding for Video Conferencing

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