@article {12464,
	title = {Video Pr{\'e}cis: Highlighting Diverse Aspects of Videos},
	journal = {IEEE Transactions on Multimedia},
	volume = {12},
	year = {2010},
	month = {2010/12//},
	pages = {853 - 868},
	abstract = {Summarizing long unconstrained videos is gaining importance in surveillance, web-based video browsing, and video-archival applications. Summarizing a video requires one to identify key aspects that contain the essence of the video. In this paper, we propose an approach that optimizes two criteria that a video summary should embody. The first criterion, {\textquotedblleft}coverage,{\textquotedblright} requires that the summary be able to represent the original video well. The second criterion, {\textquotedblleft}diversity,{\textquotedblright} requires that the elements of the summary be as distinct from each other as possible. Given a user-specified summary length, we propose a cost function to measure the quality of a summary. The problem of generating a précis is then reduced to a combinatorial optimization problem of minimizing the proposed cost function. We propose an efficient method to solve the optimization problem. We demonstrate through experiments (on KTH data, unconstrained skating video, a surveillance video, and a YouTube home video) that optimizing the proposed criterion results in meaningful video summaries over a wide range of scenarios. Summaries thus generated are then evaluated using both quantitative measures and user studies.},
	keywords = {$K$-means, CAMERAS, combinatorial mathematics, combinatorial optimization, Cost function, data compression, Exemplar selection, Image segmentation, Internet, Iron, Length measurement, multimedia systems, Ncut, optimisation, Optimization methods, original video, Permission, shot segmentation, Surveillance, user specified summary length, video précis, Video sharing, video signal processing, Video summarization},
	isbn = {1520-9210},
	doi = {10.1109/TMM.2010.2058795},
	author = {Shroff, N. and Turaga,P. and Chellapa, Rama}
}
@article {15679,
	title = {End-to-end analysis of distributed video-on-demand systems},
	journal = {IEEE Transactions on Multimedia},
	volume = {6},
	year = {2004},
	month = {2004/02//},
	pages = {129 - 141},
	abstract = {The focus of the research presented in this paper is the end-to-end analysis of a distributed Video-on-Demand (VoD) system. We analyze the distributed architecture of a VoD system to design global request handling and admission control strategies and evaluate them using global metrics. The performance evaluation methodology developed in this paper helps in determining efficient ways of using all resources in the VoD architecture within the constraints of providing guaranteed high quality service to each request. For instance, our simulation results show that request handling policies based on limited redirection of blocked requests to other resources perform better than load sharing policies. We also show that request handling policies based on redirection have simpler connection establishment semantics than load sharing policies and, therefore, are easily incorporated into reservation or signaling protocols.},
	keywords = {Admission control, admission control strategies, Analytical models, Computer science, distributed architecture, distributed video-on-demand systems, end-to-end analysis, global request handling, High-speed networks, Network servers, Next generation networking, Performance analysis, performance evaluation methodology, Protocols, request handling, reservation protocols, resource allocation, Resource management, signaling protocols, telecommunication congestion control, video on demand, Video sharing},
	isbn = {1520-9210},
	doi = {10.1109/TMM.2003.819757},
	author = {Mundur, Padma and Simon,R. and Sood,A. K}
}
