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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

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.