From 0467737c085a4c65be9e5d9beb906077de36cc86 Mon Sep 17 00:00:00 2001
From: Thomas Forgione <thomas@forgione.fr>
Date: Fri, 18 Oct 2019 15:50:02 +0200
Subject: [PATCH] Adds self citation

---
 src/bib.bib                           | 9 +++++++++
 src/state-of-the-art/3d-streaming.tex | 2 ++
 2 files changed, 11 insertions(+)

diff --git a/src/bib.bib b/src/bib.bib
index 32dc4c3..9e45ebf 100644
--- a/src/bib.bib
+++ b/src/bib.bib
@@ -821,3 +821,12 @@
     year={2019},
     organization={ACM}
 }
+
+@inproceedings{cheng2008receiver,
+    title={Receiver-driven view-dependent streaming of progressive mesh},
+    author={Cheng, Wei and Ooi, Wei Tsang},
+    booktitle={Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video},
+    pages={9--14},
+    year={2008},
+    organization={ACM}
+}
diff --git a/src/state-of-the-art/3d-streaming.tex b/src/state-of-the-art/3d-streaming.tex
index 21cd189..bac7e8d 100644
--- a/src/state-of-the-art/3d-streaming.tex
+++ b/src/state-of-the-art/3d-streaming.tex
@@ -124,6 +124,8 @@ In terms of quality of experience, it is desirable that the downloaded content i
 This means that the progressive compression must allow a decoder to choose what it needs to decode, and to guess what it needs to decode from the users point of view.
 This is typically called \emph{random accessible mesh compression}.
 \citep{maglo2013pomar} is such an example of random accessible progressive mesh compression.
+\citep{cheng2008receiver} proposes a receiver driven way of achieving viewpoint dependency with progressive mesh: the client starts by downloading the base mesh, and then is able to estimate the importance of vertex splits and choose which ones to download.
+Doing so reduces drastically the server computational load, since it only has to send data, and improves the scalability of this framework.
 
 In the case of streaming a large 3D scene, viewpoint dependent streaming is a must-have: a user will only be seeing one small portion of the scene at each time, and a system that does not adapt its streaming to the user's point of view is bound to have poor quality of experience.