Abstract
Scalable video coding (SVC) has been an active research topic for the past decade. In the past, most SVC technologies were based on a coarse-granularity scalable model which puts many scalability constraints on the encoded bitstreams. As a result, the application scenario of adapting a preencoded bitstream multiple times along the distribution chain has not been seriously investigated before. In this paper, a model-based multiple-adaptation framework based on a wavelet video codec, MC-EZBC, is proposed. The proposed technology allows multiple adaptations on both the video data and the content-adaptive FEC protection codes. For multiple adaptations of video data, rate-distortion information must be embedded within the video bitstream in order to allow rate-distortion optimized operations for each adaptation. Experimental results show that the proposed method reduces the amount of side information by more than 50% on average when compared to the existing technique. It also reduces the number of iterations required to perform the tier-2 entropy coding by more than 64% on average. In addition, due to the nondiscrete nature of the rate-distortion model, the proposed framework also enables multiple adaptations of content-adaptive FEC protection scheme for more flexible error-resilient transmission of bitstreams.
Highlights
Multimedia distribution over heterogeneous networks and devices has become the mainstream enabling technology for new generations of services
Because there is no inherent layer structure for wavelet video bitstreams, video parameters such as resolution, frame rate, and bitrate can be dynamically adapted with fine granularity after the encoding procedure
With a fully embedded bitstream where both RD information and the wavelet video data are transmitted to the notebook, the notebook can extract an R-D optimized bitstream according to the runtime constraints of the target device
Summary
Multimedia distribution over heterogeneous networks and devices has become the mainstream enabling technology for new generations of services. With a fully embedded bitstream where both RD information and the wavelet video data are transmitted to the notebook, the notebook can extract an R-D optimized bitstream according to the runtime constraints of the target device This approach achieves better quality than the layerstructured scheme, but the side information, namely the R-D information, is required and the complexity of the bitstream adaptor is higher. The most popular rate adaptation scheme is the 3D-ESCOT proposed by Xu et al [4] In this approach, R-D information is computed from real data points and is encoded into the bitstream for later adaptation. A parameterized R-D model-based approach for R-D optimized multiple adaptations of video bitstream and content-adaptive FEC protection is proposed.
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