Computation-scalable algorithm for scalable video coding

Wang, Te-Heng; Chen, Mei-Juan; Chi, Ming-Chieh; Huang, Sheng‐Teng; Yeh, Chia‐Hung

doi:10.1109/tce.2011.6018874

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…Hamamoto (2011) states that the computational complexity is reduced based on the correlation between the current frame and reference frame with search range, this however, reduces the redundant search range and candidate modes were reduced results in PSNR loss. It is reported that mode decision and motion estimation (ME) modules take from 60 to 90% of the computational time in the enhancement layers to acquire the best rate distortion cost from all variable block modes (Wang, 2011). Recently, a number of efforts have been made to explore fast algorithms in inter-mode prediction and intra-mode prediction in H.264 / SVC video coding.…”

Section: Background and Related Workmentioning

confidence: 99%

An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model

Balaji

Thyagharajan²,

Dhanalakshmi³

2015

International Journal of System Dynamics Applications

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H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR).

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Section: Background and Related Workmentioning

confidence: 99%

An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model

Balaji

Thyagharajan²,

Dhanalakshmi³

2015

International Journal of System Dynamics Applications

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“…As mentioned in [4], Wang et al analyze RD-cost correlation between BL and EL, and find out that it can efficiently decide the mode priority of EL by using the RDcosts of each sub-MB BL . Eq.…”

Section: Mode Priority Decision By Base Layermentioning

confidence: 99%

“…Because Mode SKIP has the lowest complexity in all inter modes, [3] uses the coding information of the co-located MB in BL and the neighboring MBs of the EL to predict the SKIP mode. Wang et al's method [4] is based on the priority-based mode decision (PBMD) and uses the RD-cost correlation between BL and EL to decide the mode priority in EL. In [5], the algorithm employs the correlation between BL and EL to predict the best mode of the EL and uses motion vector difference (MVD)of the BL to decide the search range of the EL to accelerate the encoding time.…”

Section: Introductionmentioning

confidence: 99%

Probability-based mode decision algorithm for scalable video coding

Wey

Chen

Yeh

2013

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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To reduce the computational complexity of the encoding process in Scalable Video Coding, we utilize the information of motion vector predictor (MVP) and the number of non-zero coefficients(NZC) to propose a fast mode decision algorithm. The probability models of motion vector predictor and the number of non-zero coefficients are built to predict the partition mode in the enhancement layer. In addition, the search range of motion estimation is adaptively adjusted to further reduce computational complexity. Experiment results show that the proposed algorithm can reduce coding time by up to 76% in average and provide higher time saving and better performance than previous work.I.

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“…In the SVC scenario, the video signal is split into several layers, and a receiver may decode a part of the bitstream due to its resource constraint. [1][2][3] Intra-prediction is an efficient method to reduce spatial redundancy in coded video data. 4 Both H.264/AVC and SVC adopt the line-by-line intra-prediction scheme.…”

Section: Introductionmentioning

confidence: 99%

Spatial and interlayer hybrid intra-prediction for H.264/SVC video

Park

2013

Opt. Eng

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Abstract. A spatial and interlayer hybrid intra-prediction (SILHIP) scheme is proposed in this work to improve the coding efficiency of the scalable video coding (SVC) standard. The SVC standard adopts a line-by-line intra-prediction that predicts the texture information of a block by exploiting the spatial correlation between adjacent blocks. However, the accuracy of the line-by-line intra-prediction deteriorates when a target block lies in the edge region. The proposed SILHIP scheme adaptively predicts a target block by exploiting both the spatial correlation and the interlayer correlation between the base layer and the enhancement layer. To implement the SILHIP scheme, we partition a macroblock into two regions based on the edge map and allow different types of prediction schemes to be used in different regions. It is shown by experimental results that the proposed SILHIP scheme outperforms the conventional one consistently. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Computation-scalable algorithm for scalable video coding

Cited by 9 publications

References 24 publications

An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model

An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model

Probability-based mode decision algorithm for scalable video coding

Spatial and interlayer hybrid intra-prediction for H.264/SVC video

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