scalable video coding (SVC) is a good approach for video services over heterogeneous networks. To achieve efficient video broadcasting systems, a good understanding on the performance of coding tools in SVC is necessa...
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scalable video coding (SVC) is a good approach for video services over heterogeneous networks. To achieve efficient video broadcasting systems, a good understanding on the performance of coding tools in SVC is necessary. In this paper, the efficiency of inter-layer prediction tools in SVC extension of H. 264/AVC is thoroughly investigated by simulations. First, it is shown that inter-layer prediction is more efficient for fast/complex sequences than for slow/simple scenarios. Second, among the three inter-layer prediction methods, inter-layer residual prediction contributes most gains in simulations suggested by SVC standardization group. Nevertheless, all of them are comparatively less efficient for sequences with many details in the environment of spatial scalability. In addition, medium-grain quality scalability (MGS) outperforms coarse-grain quality scalability (CGS): MGS is able to provide up to 1 dB gain over CGS while keeping an even higher flexibility. However, MGS introduces a relatively large PSNR fluctuation which impacts visual quality.
In this work, an inter-layer residual prediction method that has low complexity and minimal syntax changes is proposed to improve the rate-distortion RD performance of scalable video coding. The proposed method employ...
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In this work, an inter-layer residual prediction method that has low complexity and minimal syntax changes is proposed to improve the rate-distortion RD performance of scalable video coding. The proposed method employs a new inter-layer reference picture that is compensated for by a residual signal from the corresponding base layer. The compensated reference picture is added into the reference picture lists. Thus, the residual prediction is adaptively conducted by motion estimation and compensation with the added inter-layer reference picture. When the residual-compensated reference picture is generated, sub-pel interpolation is not used to reduce the computational complexity. Despite adding the residual predicted reference picture, block-level syntax changes and decoding processes are not necessary. To evaluate the performance of the proposed method, the proposed technique was applied to the scalable high-efficiency videocoding (SHVC) coder. Experimental results show that the coding performance for the luma component is improved by about 1.0 %, compared to the SHVC reference software. The encoding time for the proposed algorithm is not increased and the decoding time is increased by about 5 % against SHVC without any residual predictions while the conventional GRP achieves 1.83 % coding gain with 48.4 and 20.3 % of encoding and decoding complexity increment in 2x and 1.5x scalablecoding cases, respectively.
Recently, there is an active research about a new emerging videocoding standard, scalable video coding (SVC) SVC adopts a layered coding scheme to generate multi-layered bitstream for heterogeneous environments. In a...
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Recently, there is an active research about a new emerging videocoding standard, scalable video coding (SVC) SVC adopts a layered coding scheme to generate multi-layered bitstream for heterogeneous environments. In addition to the layered coding, SVC performs temporal prediction using the hierarchical B picture scheme in order to provide temporal scalable representation of input sequences. Since the coding order of the hierarchical B picture scheme is different from that of conventional temporal prediction schemes, the layer-switching algorithm considering the different coding order has to be developed. In this paper, we first investigate the problems of layer switching in SVC and propose an algorithm that enables the SVC decoder to cope with layer switching caused by the bandwidth variation of networks. With the proposed algorithm, the SVC decoder can decode the time-varying sub-bitstream without modification of encoder. We confirm the proposed methods through the experiments.
scalable video coding (SVC), an extended version of H.264/AVC, is designed to transmit high-quality video bitstreams over heterogeneous networks. However, such video bitstreams are sensitive to transmission error, the...
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scalable video coding (SVC), an extended version of H.264/AVC, is designed to transmit high-quality video bitstreams over heterogeneous networks. However, such video bitstreams are sensitive to transmission error, thereby severely degrading its quality. Inter-layer prediction in SVC causes errors to be propagated not only to subsequent frames but also to frames in the upper layers, when the errors have occurred in the lower layers. This paper presents an inter-embedding error-resilient scheme to reduce the distortion caused by the loss of inter-layer prediction information in SVC. The proposed algorithm exploits the reversible data embedding scheme to hide essential information of the lower layer without damaging the original data. Experimental results demonstrate that the proposed method provides a better PSNR performance than the frame copy by an average of 4.89 dB in a 2-layer SVC decoder, and an average of 4.54 dB in a 3-layer SVC decoder in the case of whole frame loss. (C) 2014 Elsevier Inc. All rights reserved.
Designed for scalable video coding, an efficient algorithm for Lagrange multiplier selection, named as Lagrange multiplier selection with temporal scalability, is proposed based on inter-layer dependency in the tempor...
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Designed for scalable video coding, an efficient algorithm for Lagrange multiplier selection, named as Lagrange multiplier selection with temporal scalability, is proposed based on inter-layer dependency in the temporal domain. The inter-layer dependency between the temporal base layer and higher temporal layers is explored and used to select the Lagrange multiplier, which leads to efficient allocation of bit budgets to different temporal layers according to their impact and importance in optimization of the overall video quality. Experimental results show that compared with using the original Lagrange multiplier in the reference software model of H.264/SVC (i.e., JSVM), the proposed Lagrange multiplier achieves a performance gain of up to 0.41 dB in Delta PSNR and 10.61 % in bit-rate reduction at various bit-rates. At lower bit-rates, the performance gain can be further improved. Consistent performance gain is also observed when compared with two other state-of-the-art Lagrange multiplier selection techniques for scalable video coding.
In heterogeneous network environments, it is mandatory to measure the grade of the video quality in order to guarantee the optimal quality of the video streaming service. Quality of Service (QoS) has become a key issu...
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In heterogeneous network environments, it is mandatory to measure the grade of the video quality in order to guarantee the optimal quality of the video streaming service. Quality of Service (QoS) has become a key issue for service acceptability and user satisfaction. Although there have been many recent works regarding video quality, most of them have been limited to measuring quality within temporal and Signal-to-Noise Ratio (SNR) scalability. H.264/AVC scalable video coding (SVC) has emerged and has been developed to support full scalability. This includes spatial, temporal, and SNR scalability, each of which shows different visual effects. The aim of this paper is to define and develop a novel video quality metric allowing full scalability. It focuses on the effect of frame rate, SNR, the change of spatial resolution, and motion characteristics using subjective quality assessment. Experimental results show the proposed quality metric has a high correlation to subjective quality and that it is useful in determining the video quality of SVC.
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...
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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 MVP and the number of NZC 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.
In this paper we propose a new error concealment (EC) method using inter-layer correlation for scalable video coding. In the proposed method, the auxiliary motion vector W and the auxiliary mode number (MN) of intra p...
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In this paper we propose a new error concealment (EC) method using inter-layer correlation for scalable video coding. In the proposed method, the auxiliary motion vector W and the auxiliary mode number (MN) of intra prediction are interleaved into the bitstream to recover the corrupted frame. In order to reduce the bit rate, the proposed method encodes the difference between the original and the predicted values of the MY and MN instead of the original values. Experimental results show that the proposed EC outperforms the conventional EC by 2.8 dB to 6 7 dB.
A novel scheme for scalable video coding using three-band lifting-based motion-compensated transform is presented in this article. A series of flexible three-band motion-compensated lifting steps are used to implement...
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A novel scheme for scalable video coding using three-band lifting-based motion-compensated transform is presented in this article. A series of flexible three-band motion-compensated lifting steps are used to implement the temporal wavelet transform, which provide improved compression performance by selecting specific motion model according to real video sequences, and offer higher temporal scalability flexibility by using three-band lifting steps. The experimental results compared with motion picture expert group （MPEG）-4 codec concerning standard video sequences demonstrate the effectiveness of the method.
We propose a new disk power management scheme for scalable video coding (SVC) video playback. Conventional disk power management techniques for video players usually prefetch video frames into buffer to allow disk to ...
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We propose a new disk power management scheme for scalable video coding (SVC) video playback. Conventional disk power management techniques for video players usually prefetch video frames into buffer to allow disk to enter low-power mode, which may require significant buffer space. To address this, we exploit temporal scalability property in which multiple frame rates for the same video stream are provided, and allow selective frame prefetching with the aim of achieving specified quality levels while reducing disk energy consumption. Simulation results show that the disk energy consumption can be reduced by 8.4% on average without any noticeable quality degradation by users.
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