@INPROCEEDINGS {Solteszova-2014-VPS,
author = "Veronika \v{S}olt{\'e}szov{\'a} and {\AA}smund Birkeland and Ivan Viola and Stefan Bruckner",
title = "Visibility-Driven Processing of Streaming Volume Data",
booktitle = "Proceedings of VCBM 2014",
year = "2014",
pages = "127--136",
month = "sep",
abstract = "In real-time volume data acquisition, such as 4D ultrasound, the raw  data is challenging to visualize directly without additional processing.  Noise removal and feature detection are common operations, but many  methods are too costly to compute over the whole volume when dealing  with live streamed data. In this paper, we propose a visibility-driven  processing scheme for handling costly on-the-fly processing of volumetric  data in real-time. In contrast to the traditional visualization pipeline,  our scheme utilizes a fast computation of the potentially visible  subset of voxels which significantly reduces the amount of data required  to process. As filtering operations modify the data values which  may affect their visibility, our method for visibility-mask generation  ensures that the set of elements deemed visible does not change after  processing. Our approach also exploits the visibility information  for the storage of intermediate values when multiple operations are  performed in sequence, and can therefore significantly reduce the  memory overhead of longer filter pipelines. We provide a thorough  technical evaluation of the approach and demonstrate it on several  typical scenarios where on-the-fly processing is required.",
pdf = "pdfs/Solteszova-2014-VPS.pdf",
images = "images/Solteszova-2014-VPS.jpg",
thumbnails = "images/Solteszova-2014-VPS.png",
youtube = "https://www.youtube.com/watch?v=WJgc6BX1qig",
note = "VCBM 2014 Best Paper Award",
doi = "10.2312/vcbm.20141198",
event = "VCBM 2014",
keywords = "ultrasound, visibility-driven processing, filtering",
location = "Vienna, Austria"
}