@article {14430,
	title = {Dynamic Processing Allocation in Video},
	journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
	volume = {33},
	year = {2011},
	month = {2011/11//},
	pages = {2174 - 2187},
	abstract = {Large stores of digital video pose severe computational challenges to existing video analysis algorithms. In applying these algorithms, users must often trade off processing speed for accuracy, as many sophisticated and effective algorithms require large computational resources that make it impractical to apply them throughout long videos. One can save considerable effort by applying these expensive algorithms sparingly, directing their application using the results of more limited processing. We show how to do this for retrospective video analysis by modeling a video using a chain graphical model and performing inference both to analyze the video and to direct processing. We apply our method to problems in background subtraction and face detection, and show in experiments that this leads to significant improvements over baseline algorithms.},
	keywords = {algorithms;digital, allocation;video, analysis;computer, background, detection;graphical, detection;resource, graphics;face, model;resource, processing;, processing;face, recognition;object, signal, subtraction;baseline, video},
	isbn = {0162-8828},
	doi = {10.1109/TPAMI.2011.55},
	author = {Daozheng Chen and Bilgic,M. and Getoor, Lise and Jacobs, David W.}
}
@article {18253,
	title = {Multiuser cross-layer resource allocation for video transmission over wireless networks},
	journal = {Network, IEEE},
	volume = {20},
	year = {2006},
	month = {2006/04//march},
	pages = {21 - 27},
	abstract = {With the advancement of video-compression technology and the wide deployment of wireless networks, there is an increasing demand for wireless video communication services, and many design challenges remain to be overcome. In this article, we discuss how to dynamically allocate resources according to the changing environments and requirements, so as to improve the overall system performance and ensure individual quality of service (QoS). Specifically, we consider two aspects with regard to design issues: cross-layer design, which jointly optimizes resource utilization from the physical layer to the application layer, and multiuser diversity, which explores source and channel heterogeneity for different users. We study how to efficiently transmit multiple video streams, encoded by current and future video codecs, over resource-limited wireless networks such as 3G/4G cellular system and future wireless local/metropolitan area networks (WLANs/WMANs)},
	keywords = {3G, allocation;multiuser, allocation;video, cellular, channels;quality, codecs;video, coding;video, communication;4G, communication;data, compression;diversity, cross-layer, diversity;physical, layer;multiple, layer;quality, mobile, networks;3G, of, reception;multiuser, resource, service;resource, service;video, streaming;, streams;multiuser, system;4G, system;QoS;application, technology;wireless, transmission;video-compression, video},
	isbn = {0890-8044},
	doi = {10.1109/MNET.2006.1607892},
	author = {Su,Guan-Ming and Man,Zhu and M. Wu and Liu,K. J.R}
}
