Content-Dependent Encoding Rate Selection and Packet Drop Policies for Uni- and Multicase Streaming of Pre-Encoded PFGS Video

Research output: Patent

Abstract

With Progressive Fine Granularity Scalability (PFGS) video coding, one given encoding (with a prescribed bit rate) can flexibly be transmitted at any lower bit rate. However, the transmitted video is only efficiently encoded when the transmission bit rate is in the vicinity of the encoding bit rate; for transmission bit rates far from the encoding bit rate up on the order of 4 dB in video quality are lost. In this paper we develop and evaluate a suite of policies for accounting for this coding efficiency issue, which has been largely overlooked in previous PFGS streaming studies, in uni- and multicast streaming. Our adaptive policies select the PFGS encoding rate from set of pre-encoded versions and drop packets so as to maximize the reconstructed video qualities. Our policies consider both the visual video content, expressed using the motion activity level of MPEG-7 descriptor, as well as the channel variability. We find that an optimal non-adaptive streaming policy overcomes the 4 dB inefficiency and on top of this efficiency gain, our adaptive unicast streaming policy achieves 0.8 dB improvement over the optimal non-adaptive streaming. We also find that our content-dependent packet drop policies enforce fairness among multiple streams in terms of reconstructed video qualities and that our multicasting policy improves the average reconstructed video qualities at a group of receivers by up to 2 dB
Original languageEnglish (US)
StatePublished - Jun 29 2005

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Scalability
Multicasting
Image coding

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@misc{c565e1bf1aa7455ba0ca8d038f6aabfa,
title = "Content-Dependent Encoding Rate Selection and Packet Drop Policies for Uni- and Multicase Streaming of Pre-Encoded PFGS Video",
abstract = "With Progressive Fine Granularity Scalability (PFGS) video coding, one given encoding (with a prescribed bit rate) can flexibly be transmitted at any lower bit rate. However, the transmitted video is only efficiently encoded when the transmission bit rate is in the vicinity of the encoding bit rate; for transmission bit rates far from the encoding bit rate up on the order of 4 dB in video quality are lost. In this paper we develop and evaluate a suite of policies for accounting for this coding efficiency issue, which has been largely overlooked in previous PFGS streaming studies, in uni- and multicast streaming. Our adaptive policies select the PFGS encoding rate from set of pre-encoded versions and drop packets so as to maximize the reconstructed video qualities. Our policies consider both the visual video content, expressed using the motion activity level of MPEG-7 descriptor, as well as the channel variability. We find that an optimal non-adaptive streaming policy overcomes the 4 dB inefficiency and on top of this efficiency gain, our adaptive unicast streaming policy achieves 0.8 dB improvement over the optimal non-adaptive streaming. We also find that our content-dependent packet drop policies enforce fairness among multiple streams in terms of reconstructed video qualities and that our multicasting policy improves the average reconstructed video qualities at a group of receivers by up to 2 dB",
author = "Sethuraman Panchanathan and Martin Reisslein",
year = "2005",
month = "6",
day = "29",
language = "English (US)",
type = "Patent",

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T1 - Content-Dependent Encoding Rate Selection and Packet Drop Policies for Uni- and Multicase Streaming of Pre-Encoded PFGS Video

AU - Panchanathan, Sethuraman

AU - Reisslein, Martin

PY - 2005/6/29

Y1 - 2005/6/29

N2 - With Progressive Fine Granularity Scalability (PFGS) video coding, one given encoding (with a prescribed bit rate) can flexibly be transmitted at any lower bit rate. However, the transmitted video is only efficiently encoded when the transmission bit rate is in the vicinity of the encoding bit rate; for transmission bit rates far from the encoding bit rate up on the order of 4 dB in video quality are lost. In this paper we develop and evaluate a suite of policies for accounting for this coding efficiency issue, which has been largely overlooked in previous PFGS streaming studies, in uni- and multicast streaming. Our adaptive policies select the PFGS encoding rate from set of pre-encoded versions and drop packets so as to maximize the reconstructed video qualities. Our policies consider both the visual video content, expressed using the motion activity level of MPEG-7 descriptor, as well as the channel variability. We find that an optimal non-adaptive streaming policy overcomes the 4 dB inefficiency and on top of this efficiency gain, our adaptive unicast streaming policy achieves 0.8 dB improvement over the optimal non-adaptive streaming. We also find that our content-dependent packet drop policies enforce fairness among multiple streams in terms of reconstructed video qualities and that our multicasting policy improves the average reconstructed video qualities at a group of receivers by up to 2 dB

AB - With Progressive Fine Granularity Scalability (PFGS) video coding, one given encoding (with a prescribed bit rate) can flexibly be transmitted at any lower bit rate. However, the transmitted video is only efficiently encoded when the transmission bit rate is in the vicinity of the encoding bit rate; for transmission bit rates far from the encoding bit rate up on the order of 4 dB in video quality are lost. In this paper we develop and evaluate a suite of policies for accounting for this coding efficiency issue, which has been largely overlooked in previous PFGS streaming studies, in uni- and multicast streaming. Our adaptive policies select the PFGS encoding rate from set of pre-encoded versions and drop packets so as to maximize the reconstructed video qualities. Our policies consider both the visual video content, expressed using the motion activity level of MPEG-7 descriptor, as well as the channel variability. We find that an optimal non-adaptive streaming policy overcomes the 4 dB inefficiency and on top of this efficiency gain, our adaptive unicast streaming policy achieves 0.8 dB improvement over the optimal non-adaptive streaming. We also find that our content-dependent packet drop policies enforce fairness among multiple streams in terms of reconstructed video qualities and that our multicasting policy improves the average reconstructed video qualities at a group of receivers by up to 2 dB

M3 - Patent

ER -