Selective inter-layer residual prediction for SVC-based video streaming

Park, Chun-Su; Baek, Seung-Jin; Yoon, Moonseok; Kim, Hyo-Kak; Ko, Sung-Jea

doi:10.1109/tce.2009.4814440

Cited by 20 publications

(6 citation statements)

References 11 publications

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“…Furthermore, these sequences are encoded with the original encoder optimized with the proposed techniques, with Li's model improved with the proposed techniques and with selective inter-layer residual prediction [5].…”

Section: Resultsmentioning

confidence: 99%

“…As already mentioned in Section I, selective inter-layer residual prediction [5] can be used to extend existing fast mode decision models, since the proposed method evaluates all macroblock modes. In a sense, this makes selective interlayer residual prediction also a generic technique.…”

Section: Improving With Selective Inter-layer Predictionmentioning

confidence: 99%

“…This method reports a 44.81% time saving. A selective inter-layer residual prediction method reduces complexity with 40% [5]. This is achieved by evaluating all modes without inter-layer residual prediction and re-evaluating the rate-distortion (RD) optimal mode with inter-layer residual prediction.…”

Section: Introductionmentioning

confidence: 99%

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Generic techniques to reduce SVC enhancement layer encoding complexity

Leuven

Cock

Garrido-Cantos

et al. 2011

IEEE Trans. Consumer Electron.

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Section: Resultsmentioning

confidence: 99%

Section: Improving With Selective Inter-layer Predictionmentioning

confidence: 99%

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Generic techniques to reduce SVC enhancement layer encoding complexity

Leuven

Cock

Garrido-Cantos

et al. 2011

IEEE Trans. Consumer Electron.

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“…The correlation among adjacent MBs of the base layer and the colocated MBs of enhancement layer is utilized to forecast the mode in the enhancement layer in [9]. A selective interlayer residual prediction using Lagrangian RDC based fast mode decision algorithm is proposed in [10]. The Lagrangian parameter involved in this prediction reduces coding time while deciding appropriate mode.…”

Section: Related Workmentioning

confidence: 99%

H.264 SVC Complexity Reduction Based on Likelihood Mode Decision

Balaji

Thyagharajan²

2015

The Scientific World Journal

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H.264 Advanced Video Coding (AVC) was prolonged to Scalable Video Coding (SVC). SVC executes in different electronics gadgets such as personal computer, HDTV, SDTV, IPTV, and full-HDTV in which user demands various scaling of the same content. The various scaling is resolution, frame rate, quality, heterogeneous networks, bandwidth, and so forth. Scaling consumes more encoding time and computational complexity during mode selection. In this paper, to reduce encoding time and computational complexity, a fast mode decision algorithm based on likelihood mode decision (LMD) is proposed. LMD is evaluated in both temporal and spatial scaling. From the results, we conclude that LMD performs well, when compared to the previous fast mode decision algorithms. The comparison parameters are time, PSNR, and bit rate. LMD achieve time saving of 66.65% with 0.05% detriment in PSNR and 0.17% increment in bit rate compared with the full search method.

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“…In [6], Jung et al decided an appropriate mode by employing the all-zero block detection. Park et al [7] reduced coding modes by comparing the difference between the RD-cost values of the BLskip modes with and without inter-layer residual prediction. Through context-adaptive mode decision, Lin et al [8] performed coarse-grain quality scalability (CGS) and temporal scalability with less computation.…”

Section: Introductionmentioning

confidence: 99%

Computation-scalable algorithm for scalable video coding

Wang

Chen

Chi³

et al. 2011

IEEE Trans. Consumer Electron.

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This paper presents a strategy that efficiently allocates the limited resource and still maintains the coding performance for the spatial scalability of H.264/SVC. An integrated computation-scalable algorithm is proposed on the basis of priority-based mode decision (PBMD) and activitybased motion estimation (ABME). The rate-distortion cost (RD-cost) of base layer is utilized as the priority to decide the mode in the enhancement layer, and the motion vector difference (MVD) in the base layer is employed to determine the search range as well. Through the proposed approach, computation complexity of the enhancement layer could be reduced efficiently and well allocated. A fast algorithm with early termination mechanism is also proposed in this paper. Experimental results demonstrate that the various ratedistortion and time-saving performances with computation scalability are realized.

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Selective inter-layer residual prediction for SVC-based video streaming

Cited by 20 publications

References 11 publications

Generic techniques to reduce SVC enhancement layer encoding complexity

Generic techniques to reduce SVC enhancement layer encoding complexity

H.264 SVC Complexity Reduction Based on Likelihood Mode Decision

Computation-scalable algorithm for scalable video coding

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