From 2f712e707a6f385ac75eda3ae99d69010e6d3693 Mon Sep 17 00:00:00 2001 From: Joao Carreira Date: Mon, 3 Sep 2018 02:10:07 +0100 Subject: [PATCH] SF comments on chapter 1 --- 010_Introduction/Introduction.tex | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/010_Introduction/Introduction.tex b/010_Introduction/Introduction.tex index afb1ee4..d548683 100755 --- a/010_Introduction/Introduction.tex +++ b/010_Introduction/Introduction.tex @@ -76,13 +76,13 @@ Thus, this work investigates novel techniques to increase the video quality of \ The following objectives were pursued in this work: \begin{enumerate} \item -\textbf{evaluation study of the error robustness:} the first objective of this research work is to evaluate the robustness against transmission errors of highly efficiently coded video. The study conclusions aimed at finding relevant research directions to increase the error robust of coded streams. The results and conclusions of this study were published in the conference paper \ref{Conf:ErrorResilience} and are part of the journal paper \ref{Journal:TwoStage} (see Appendix \ref{Appen:Papers}). +\textbf{evaluation and study of the error robustness:} The first objective of this research work is to evaluate the robustness against transmission errors of highly efficiently coded video. The study conclusions aimed at finding relevant research directions to increase the error robust of coded streams. The results and conclusions of this study were published in conference paper (\ref{Conf:ErrorResilience}) and in journal paper (\ref{Journal:TwoStage}) (see Appendix \ref{Appen:Papers}). \item -\textbf{robust video coding:} At the encoder side, novel techniques to extend the existing error robustness of highly predictive video coding techniques are investigated in order to increase the received video quality over error-prone networks. This research topic resulted in a new method to reduce the error propagation in motion vector coding algorithms published in the conference paper \ref{Conf:DynamicTMVP}. Moreover, a novel two-stage approach was devised to improve the error robustness of highly efficiently coded video at the encoder and streaming levels, resulting in two conference publications \ref{Conf:MotionVectorRedundancies} and \ref{Conf:Chkb}, and a journal publication \ref{Journal:TwoStage}. +\textbf{robust video coding:} At the encoder side, novel techniques to extend the existing error robustness of highly predictive video coding techniques are investigated in order to increase the received video quality over error-prone networks. This research topic resulted in a new method to reduce the error propagation in motion vector coding algorithms, which was published in conference paper (\ref{Conf:DynamicTMVP}). Moreover, a novel two-stage approach was devised to improve the error robustness of highly efficiently coded video at the encoder and streaming levels, resulting in two conference publications (\ref{Conf:MotionVectorRedundancies} and \ref{Conf:Chkb}) and a journal publication (\ref{Journal:TwoStage}). \item \textbf{robust video decoding:} error concealment techniques are used to increase the error robustness of video decoder and improve the perceived video quality. -The paradigm of error concealment are evaluated at the encoder side, as part of the encoding process, in order to optimise the reconstruction process at the decoder side. This research resulted in a novel error concealment-aware technique to optimise the error concealment process at the encoder-side, which was proposed for intra-frame only in the conference paper \ref{Conf:ConcAware} and for a generic robust video transmission in the journal \ref{Journal:ConcAware}. +The paradigm of error concealment is evaluated at the encoder side, as part of the encoding process, in order to optimise the reconstruction process at the decoder side. This research resulted in a novel error concealment-aware technique to optimise the error concealment process at the encoder side, which was proposed for intra-frame only in a conference paper (\ref{Conf:ConcAware}) and for a generic robust video transmission in the journal (\ref{Journal:ConcAware}). %\item \textbf{jointly error resilience and concealment:} the ultimate goal of this research work is to strike a balance between the designed error resilience and error concealment techniques so as to meet higher quality demands for different video contents characteristics and network conditions. \end{enumerate} @@ -93,18 +93,18 @@ The paradigm of error concealment are evaluated at the encoder side, as part of \section{Outline of this thesis} -This thesis is organised as follows. The current chapter introduces the context, motivation and objectives of this thesis, as well as the original contributions of this thesis. +This thesis is organised as follows. The current chapter introduces the context, motivation and objectives of this thesis, as well as the original contributions. The first two chapters review the \mbox{state-of-the-art} concepts and previous work related with this research. Chapter~\ref{Chapter:HEVCReview} presents an overview of the \ac{hevc} standard, focusing on the concepts explored in this work, e.g., high-level features and temporal predictions. Chapter~\ref{Chapter:ErrorResilienceReview} reviews the most important work dealing with robust video transmission also providing relevant background knowledge to this work. -Chapter~\ref{Chapter:HEVCErrorResilience} firstly presents an evaluation study about the error robustness of high efficiently coded video, using the \ac{hevc} as the underlying framework for various coding configuration. +Chapter~\ref{Chapter:HEVCErrorResilience} firstly presents a study about the error robustness of high efficiently coded video, using the \ac{hevc} as the underlying framework for various coding configuration. The study presents the relevant tools that mostly affect the error robustness. -Secondly, a new method is proposed to decrease the vulnerability of temporal motion prediction and decrease error propagation, leading to higher video quality in error-prone conditions. +Secondly, a new method is proposed to decrease the vulnerability of temporal motion prediction and decrease the error propagation, leading to higher video quality under error-prone conditions. Chapter~\ref{Chapter:ErrorResilienceTechniques} proposes a novel error resilience approach for high efficiently video codecs. A new method to distribute the use of reference frames is proposed to reduce the error propagation and improve the \ac{ec} performance. Moreover, to reduce the effect of mismatch motion predictions (shown in Chapter~\ref{Chapter:HEVCErrorResilience}) a method based on selective motion vector redundancies is proposed. -This method is able to improve the decoded video quality using a small amount of overhead. +This method is able to improve the decoded video quality using a small overhead. Chapter~\ref{Chapter:ConcealmentAwareTechniques} addresses the problem of robust \ac{ec} of highly efficiently video streams. %This work was motivated by the requirements for more accurate \ac{ec} algorithms which are able to reduce the error propagation. @@ -116,7 +116,7 @@ A generalised saliency-weighted \ac{rd} optimisation is used and the residue be %The simulation results show that the proposed method achieves consistent quality gains in comparison with other reference methods and previous works. -Chapter~\ref{Chapter:EndToEndRobustSystem} proposes a novel adaptive error robustness method, in order to combine different techniques proposed in this thesis. At the encoder-side different video streams are generated with different levels compression efficiency and error robustness. Then, a pre-training \ac{nn} is used to predict which video stream will achieve the highest decoded video quality for a particular scenario. The selection is based on different input parameters which include information from the video signal, the coded stream and the transmission network. +Chapter~\ref{Chapter:EndToEndRobustSystem} proposes a novel adaptive error robustness method, in order to combine different techniques proposed in this thesis. At the encoder side various video streams are generated with different levels of compression efficiency and error robustness. Then, a pre-training \ac{nn} is used to predict which video stream will achieve the highest decoded video quality for a particular scenario. The selection is based on different input parameters which include information from the video signal, the coded stream and the transmission network. Chapter~\ref{Chapter:Conclusions} concludes this dissertation and presents some suggestions for future work.