@inproceedings {Simula.simula.802,
	title = {Flicker Effects in Adaptive Video Streaming to Handheld Devices},
	journal = {Proceedings of the ACM International Multimedia Conference (ACM MM)},
	year = {2011},
	month = {Nov/Dec},
	pages = {463-472},
	publisher = {ACM},
	type = {Conference},
	abstract = {Streaming video over the Internet requires mechanisms that limit the streams{\textquoteright} bandwidth consumption within its fair share. TCP streaming guarantees this and provides lossless streaming as a side-effect. Adaptation by packet drop does not occur in the network, and excessive startup latency and stalling must be prevented by adapting the bandwidth consumption of the video itself. However, when the adaptation is performed during an ongoing session, it may influence the perceived quality of the entire video and result in improved or reduced visual quality of experience. We have in- vestigated visual artifacts that are caused by adaptive layer switching - we call them flicker effects - and present our results for handheld devices in this paper. We considered three types of flicker, namely noise, blur and motion flicker. The perceptual impact of flicker is explored through subjective assessments. We vary both the intensity of quality changes (amplitude) and the number of quality changes per second (frequency). Users{\textquoteright} ability to detect and their acceptance of variations in the amplitudes and frequencies of the quality changes are explored across four content types. Our results indicate that multiple fac- tors influence the acceptance of different quality variations. Amplitude plays the dominant role in delivering satisfactory video quality, while frequency can also be adjusted to relieve the annoyance of flicker artifacts.},
	author = {Ni, Pengpeng and Eg, Ragnhild and Eichhorn, Alexander and Griwodz, Carsten and Halvorsen, P{\r a}l},
	editor = {Sundaram, Hari and Feng, Wu-chi and Sebe, Nicu}
}
@inproceedings {Simula.simula.748,
	title = {Processing of Multimedia Data Using the P2G Framework},
	journal = {Proceedings of the 19th ACM international conference on Multimedia},
	year = {2011},
	pages = {819-820},
	publisher = {ACM},
	type = {Conference},
	abstract = {In this demo, we present the P2G framework designed for processing distributed real-time multimedia data. P2G supports arbitrarily complex dependency graphs with cycles, branches and deadlines. P2G is implemented to scale transparently with available resources, i.e., a concept familiar from the cloud computing paradigm. Additionally, P2G supports heterogeneous computing resources, such as x86 and GPU processing cores. We have implemented an interchangeable P2G kernel language which is meant to expose fundamental concepts of the P2G programming model and ease the application development. Here, we demonstrate the P2G execution node using a MJPEG encoder as an example workload when dynamically adding and removing processing cores.},
	isbn = {978-1-4503-0616-4},
	author = {Beskow, Paul and H{\r a}kon Kvale {Stensland} and Espeland, H{\r a}vard and Espen Angell {Kristiansen} and Preben N. {Olsen} and St{\r a}le B. {Kristoffersen} and Griwodz, Carsten and Halvorsen, P{\r a}l},
	editor = {Sundaram, Hari and Feng, Wu-chi and Sebe, Nicu}
}
