@conference {13583,
	title = {Live multimedia adaptation through wireless hybrid networks},
	booktitle = {Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on},
	volume = {3},
	year = {2000},
	month = {2000///},
	pages = {1697 -1700 vol.3 - 1697 -1700 vol.3},
	abstract = {We present new techniques to intelligently adapt and combine multimedia presentations in real-time, mobile service environments. We present the techniques necessary to perform mobile multimedia processing for multiple video streams with ldquo;value-adding rdquo; information. The adaptation uses video analysis, content-recognition and automated annotation to provide scalable and interactive presentations over hybrid networks to mobile terminals. As a concrete case, we present a mobile surveillance service called Princess, which has several video sources and supports control information, terminal adaptation and end-to-end service},
	keywords = {adaptation;mobile, adaptation;value-adding, analysis;wireless, annotation;content-recognition;end-to-end, communication;multimedia, communication;real-time, hybrid, information;video, LAN;, multimedia, networks;mobile, Princess;automated, processing;mobile, service;live, service;mobile, streams;real-time, Surveillance, system;terminal, systems;surveillance;wireless, terminals;multiple, video},
	doi = {10.1109/ICME.2000.871098},
	author = {Koivisto,A. and Pietkainen,P. and Sauvola,J. and David Doermann}
}
@conference {18162,
	title = {An algorithm for wipe detection},
	booktitle = {Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on},
	volume = {1},
	year = {1998},
	month = {1998/10//},
	pages = {893 -897 vol.1 - 893 -897 vol.1},
	abstract = {The detection of transitions between shots in video programs is an important first step in analyzing video content. The wipe is a frequently used transitional form between shots. Wipe detection is more involved than the detection of abrupt and other gradual transitions because a wipe may take various patterns and because of the difficulty in discriminating a wipe from object and camera motion. In this paper, we propose an algorithm for detecting wipes using both structural and statistical information. The algorithm can effectively detect most wipes used in current TV programs. It uses the DC sequence which can be easily extracted from the MPEG stream without full decompression},
	keywords = {algorithm;image, analysis;video, content;video, DC, DETECTION, detection;statistical, domain;object, information;structural, information;video, motion;compressed, motion;shot, processing;, programs;camera, programs;wipe, sequence;MPEG, sequences;signal, signal, stream;TV, transitions},
	doi = {10.1109/ICIP.1998.723664},
	author = {M. Wu and Wolf,W. and Liu,B.}
}
