A framework for efficient progressive fine granularity scalable video coding
Citations
780Â citations
Cites background from "A framework for efficient progressi..."
...The essential difference between FGS and PFGS is that FGS only uses the base layer as a reference for motion prediction while PFGS uses multiple layers as references to reduce the prediction error, resulting in higher coding efficiency....
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...PFGS shares the good features of FGS, such as fine granularity bit-rate scalability and error resilience....
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...A variation of FGS is progressive fine granularity scalability (PFGS) [72]....
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...Unlike FGS, which only has two layers, PFGS could have more than two layers....
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526Â citations
Cites methods from "A framework for efficient progressi..."
...In this paper, we mathematically analyze the performance of -channel symmetric FEC-based multiple description coding for a progressive mode of transmission over orthogonal frequency division multiplexing (OFDM) networks in a frequency-selective slowly-varying Rayleigh faded environment....
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494Â citations
Cites methods from "A framework for efficient progressi..."
...The MD-FEC algorithm discussed in Section III-G is applied to each GoP of the scalable bitstream from an MPEG4PFGS encoder [62] to generate MD video streams....
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484Â citations
Cites methods from "A framework for efficient progressi..."
...The input stream is from a layered codec; in our implementation, we use a variant of the PFGS codec (also known as the SMART codec) reported in [37]....
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193Â citations
Cites methods from "A framework for efficient progressi..."
...Then, the proposed framework is introduced as a modification of temporal filtering that allows the independent operation across different video resolutions by operating in the transform domain....
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References
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"A framework for efficient progressi..." refers methods in this paper
...To deal with this problem, some error resilience and concealment methods are introduced in [18], [ 19 ]....
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