@article {23471,
	title = {Using a Commodity Hardware Video Encoder for Interactive Applications},
	journal = {International Journal of Multimedia Data Engineering and Management (IJMDEM)},
	volume = {6},
	year = {2015},
	month = {07/2015},
	pages = {17-31},
	publisher = {IGI Global},
	abstract = {Over the last years, video streaming has become one of the most dominant Internet services. Due to the increased availability of high-speed Internet access, multimedia services are becoming more interactive. Examples of such applications are both cloud gaming and systems where users can interact with high-resolution content. During the last few years, programmable hardware video encoders have been built into commodity hardware such as CPUs and GPUs. We evaluate one of these encoders in a scenario where we have individual streams delivered to the end users. Our results show that the visual video quality and the frame size of the hardware-based encoder are comparable to a software-based approach. To evaluate a complete system, we have implemented our proposed streaming pipeline into Quake III. We found that running the game on a remote server and streaming the video output to a client web browser located in a typical home environment is possible and enjoyable. The interaction latency is measured to be less than 90 ms, which is below what is reported for OnLive in a similar environment},
	issn = {1947-8534},
	doi = {10.4018/ijmdem.2015070102},
	author = {H{\r a}kon Kvale {Stensland} and Martin Alexander {Wilhelmsen} and Vamsidhar Reddy {Gaddam} and Mortensen, Asgeir and Langseth, Ragnar and Griwodz, Carsten and Halvorsen, P{\r a}l}
}
@inproceedings {Mortensen2014a,
	title = {Automatic event extraction and video summaries from soccer games},
	journal = {Proceedings of the 5th ACM Multimedia Systems Conference on - MMSys {\textquoteright}14},
	year = {2014},
	pages = {176{\textendash}179},
	publisher = {ACM Press},
	address = {New York, New York, USA},
	isbn = {9781450327053},
	doi = {10.1145/2557642.2579374},
	url = {http://dl.acm.org/citation.cfm?doid=2557642.2579374},
	author = {Mortensen, Asgeir and Vamsidhar Reddy {Gaddam} and H{\r a}kon Kvale {Stensland} and Griwodz, Carsten and Halvorsen, P{\r a}l}
}
@inproceedings {mmsys.2014-02-12.3999932578,
	title = {Automatic Event Extraction and Video Summaries From Soccer Games},
	journal = {Proceedings of the 5th annual ACM conference on Multimedia Systems (MMSYS)},
	year = {2014},
	month = {March},
	publisher = {ACM},
	type = {Conference},
	abstract = {Bagadus is a prototype of a soccer analysis application which integrates a sensor system, a video camera array and soccer analytics annotations. The current prototype is installed at Alfheim Stadium in Norway, and provides a large set of new functions compared to existing solutions. One important feature is to automatically extract video events and sum- maries from the games, i.e., an operation that traditionally consumes a huge amount of time. In this demo, we demon- strate how our integration of subsystems enable several types of summaries to be generated automatically, and we show that the video summaries are displayed with a response time around one second.},
	doi = {10.1145/2557642.2579374},
	author = {Mortensen, Asgeir and Vamsidhar Reddy {Gaddam} and H{\r a}kon Kvale {Stensland} and Griwodz, Carsten and Johansen, Dag and Halvorsen, P{\r a}l}
}
@article {stensland-bagadus,
	title = {Bagadus: an Integrated Real-Time System for Soccer Analytics},
	journal = {ACM Transactions on Multimedia Computing, Communications, and Applications},
	volume = {10},
	number = {1s},
	year = {2014},
	month = {January},
	pages = {14:1-14:21},
	abstract = {The importance of winning has increased the role of performance analysis in the sports industry, and this underscores how statistics and technology keep changing the way sports are played. Thus, this is a growing area of interest, both from a computer system view in managing the technical challenges and from a sport performance view in aiding the development of athletes. In this respect, Bagadus is a real-time prototype of a sports analytics application using soccer as a case study. Bagadus integrates a sensor system, a soccer analytics annotations system, and a video processing system using a video camera array. A prototype is currently installed at Alfheim Stadium in Norway, and in this article, we describe how the system can be used in real-time to playback events. The system supports both stitched panorama video and camera switching modes and creates video summaries based on queries to the sensor system. Moreover, we evaluate the system from a systems point of view, benchmarking different approaches, algorithms, and trade-offs, and show how the system runs in real time.},
	doi = {10.1145/2541011},
	author = {H{\r a}kon Kvale {Stensland} and Vamsidhar Reddy {Gaddam} and Tenn{\o}e, Marius and Espen O. {Helgedagsrud} and N{\ae}ss, Mikkel and Henrik Kjus {Alstad} and Mortensen, Asgeir and Langseth, Ragnar and Lj{\o}dal, Sigurd and Landsverk, {\O}ystein and Griwodz, Carsten and Halvorsen, P{\r a}l and Stenhaug, Magnus and Johansen, Dag}
}
@article {19145,
	title = {Bagadus: An integrated real-time system for soccer analytics},
	journal = {ACM Transactions on Multimedia Computing, Communications, and Applications},
	volume = {10},
	year = {2014},
	pages = {1{\textendash}21},
	publisher = {ACM},
	issn = {15516857},
	doi = {10.1145/2541011},
	url = {http://dl.acm.org/citation.cfm?doid=2576908.2541011},
	author = {H{\r a}kon Kvale {Stensland} and Landsverk, {\O}ystein and Griwodz, Carsten and Halvorsen, P{\r a}l and Vamsidhar Reddy {Gaddam} and Tenn{\o}e, Marius and Helgedagsrud, Espen and N{\ae}ss, Mikkel and Henrik Kjus {Alstad} and Mortensen, Asgeir and Langseth, Ragnar and Lj{\o}dal, Sigurd}
}
@inproceedings {Pettersen2014a,
	title = {Soccer Video and Player Position Dataset},
	journal = {Proceedings of the 5th ACM Multimedia Systems Conference on - MMSys {\textquoteright}14},
	year = {2014},
	pages = {18{\textendash}23},
	publisher = {ACM Press},
	address = {New York, New York, USA},
	abstract = {Abstract This paper presents a dataset of body-sensor traces and corresponding videos from several professional soccer games captured in late 2013 at the Alfheim Stadium in Troms{\o}, Norway. Player data, including field position , heading, and speed are sampled at 20Hz ... $\backslash$n},
	isbn = {9781450327053},
	doi = {10.1145/2557642.2563677},
	url = {http://dl.acm.org/citation.cfm?doid=2557642.2563677},
	author = {Svein Arne {Pettersen} and Halvorsen, P{\r a}l and Johansen, H{\r a}vard and Berg-Johansen, Vegard and Vamsidhar Reddy {Gaddam} and Mortensen, Asgeir and Langseth, Ragnar and Griwodz, Carsten and H{\r a}kon Kvale {Stensland}}
}
@inproceedings {mmsys.2014-02-18.0527842670,
	title = {Soccer Video and Player Position Dataset},
	journal = {Proceedings of the 5th annual ACM conference on Multimedia Systems (MMSYS)},
	year = {2014},
	publisher = {ACM},
	type = {Conference},
	abstract = {This paper presents a dataset of body-sensor traces and corresponding videos from several professional soccer games captured in late 2013 at the Alfheim Stadium in Troms{\o}, Norway.Player data, including field position, heading, and speed are sampled at 20 Hz using the highly accurate ZXY Sport Tracking system. Additional per-player statistics, like total distance covered and distance covered in different speed classes, are also included with a 1 Hz sampling rate. The provided videos are in high-definition and captured using two stationary camera arrays positioned at an elevated position above the tribune area close to the center of the field. The camera array is configured to cover the entire soccer field, and each camera can be used individually or as a stitched panorama video. This combination of body-sensor data and videos enables computer-vision algorithms for feature extraction, object tracking, background subtraction, and similar, to be tested against the ground truth contained in the sensor traces.},
	author = {Svein Arne {Pettersen} and Johansen, Dag and Johansen, H{\r a}vard and Berg-Johansen, Vegard and Vamsidhar Reddy {Gaddam} and Mortensen, Asgeir and Langseth, Ragnar and Griwodz, Carsten and H{\r a}kon Kvale {Stensland} and Halvorsen, P{\r a}l}
}
@inproceedings {sport.2014-ism-short-nvenc,
	title = {Using a Commodity Hardware Video Encoder for Interactive Video Streaming},
	journal = {IEEE International Symposium on Multimedia (ISM 2014)},
	year = {2014},
	publisher = {IEEE},
	type = {Conference},
	abstract = {Over the last years, video streaming has become one of the most dominant Internet services. A trend now is that due to the increased availability of high-speed internet access, multimedia services are becoming more interactive and immersive. Examples of such applications are both cloud gaming and systems where users can interact with high-resolution content. Over the last few years, hardware video encoders have been built into commodity hardware. We evaluate one of these encoders in a scenario where we have individual streams delivered to the end users. Our results show that we can reduce almost half of the CPU time spent on video processing, while also greatly reducing the power consumption on the system. We also compare the visual video quality and the frame size of the hardware based encoder, and we find no significant difference compared to a software based approach.},
	author = {Martin Alexander {Wilhelmsen} and H{\r a}kon Kvale {Stensland} and Vamsidhar Reddy {Gaddam} and Mortensen, Asgeir and Langseth, Ragnar and Griwodz, Carsten and Halvorsen, P{\r a}l}
}
@inproceedings {mmsys.2013-03-15.9787518415,
	title = {Bagadus: an Integrated System for Arena Sports Analytics - a Soccer Case Study -},
	journal = {Proceedings of the 4th annual ACM conference on Multimedia Systems (MMSYS)},
	year = {2013},
	month = {March},
	pages = {48-59},
	publisher = {ACM},
	type = {Conference},
	abstract = {Sports analytics is a growing area of interest, both from a computer system view to manage the technical challenges and from a sport performance view to aid the development of athletes. In this paper, we present Bagadus, a prototype of a sports analytics application using soccer as a case study. Bagadus integrates a sensor system, a soccer analytics annotations system and a video processing system using a video camera array. A prototype is currently installed at Alfheim Stadium in Norway, and in this paper, we describe how the system can follow and zoom in on particular player(s). Next, the system will playout events from the games using stitched panorama video or camera switching mode and create video summaries based on queries to the sensor system. Further- more, we evaluate the system from a systems point of view, benchmarking different approaches, algorithms and trade-offs.},
	isbn = {978-1-4503-1894-5},
	author = {Halvorsen, P{\r a}l and S{\ae}grov, Simen and Mortensen, Asgeir and David Kai Christ {Kristensen} and Eichhorn, Alexander and Stenhaug, Magnus and Dahl, Stian and H{\r a}kon Kvale {Stensland} and Vamsidhar Reddy {Gaddam} and Griwodz, Carsten and Johansen, Dag},
	editor = {Zimmermann, Roger}
}
