C
Carsten Griwodz
Researcher at University of Oslo
Publications - 238
Citations - 5263
Carsten Griwodz is an academic researcher from University of Oslo. The author has contributed to research in topics: The Internet & Video quality. The author has an hindex of 32, co-authored 230 publications receiving 4366 citations. Previous affiliations of Carsten Griwodz include Simula Research Laboratory & IBM.
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Proceedings ArticleDOI
Evaluating dead reckoning variations with a multi-player game simulator
TL;DR: A simulator called GLS is introduced that allows us to evaluate different aspects of DIS and its variations and the impact of prediction and clock synchronization on game consistency, and ways for compensating increasing delays to keep the player's view of the game state sufficiently consistent with other players are looked into.
Proceedings ArticleDOI
Delay sensitivity classification of cloud gaming content
TL;DR: An expert evaluation methodology to quantify these characteristics as well as a delay sensitivity classification based on a decision tree are presented and an excellent level of agreement is indicated, which demonstrates the reliability of the proposed method.
Proceedings ArticleDOI
Bitrate and video quality planning for mobile streaming scenarios using a GPS-based bandwidth lookup service
TL;DR: This paper proposes bitrate and video quality planning algorithms for mobile streaming scenarios using a GPS-based bandwidth-lookup service in order to reduce frequently changing video quality and the number of playout interruptions.
Proceedings ArticleDOI
Performance of on-off traffic stemming from live adaptive segmented HTTP video streaming
TL;DR: This paper analyzes the TCP performance of such live on-off sources, and investigates possible improvements in order to increase the resource utilization on the server side.
Proceedings ArticleDOI
GPU-Accelerated Real-Time Gastrointestinal Diseases Detection
Konstantin Pogorelov,Michael Riegler,Pål Halvorsen,Peter T. Schmidt,Carsten Griwodz,Dag Johansen,Sigrun Losada Eskeland,Thomas de Lange +7 more
TL;DR: A system that tackles live automatic analysis of endoscopy videos is presented with a particular focus on the system's ability to perform in real time, and a detection precision and recall level at least as good as existing related work.