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» Adaptive Bayesian networks for video processing
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ICIP
1998
IEEE
14 years 9 months ago
A Neural Network based Scheme for Unsupervised Video Object Segmentation
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
AVSS
2008
IEEE
14 years 1 months ago
Person Tracking with Audio-Visual Cues Using the Iterative Decoding Framework
Tracking humans in an indoor environment is an essential part of surveillance systems. Vision based and microphone array based trackers have been extensively researched in the pas...
Shankar T. Shivappa, Mohan M. Trivedi, Bhaskar D. ...
ICMCS
2006
IEEE
219views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Analysis of Multi-User Congestion Control for Video Streaming Over Wireless Networks
When multiple video sources are live-encoded and transmitted over a common wireless network, each stream needs to adapt its encoding parameters to wireless channel fluctuations, ...
Xiaoqing Zhu, Bernd Girod
ICIP
2005
IEEE
14 years 9 months ago
Distributed rate allocation for multi-stream video transmission over ad hoc networks
When multiple video streams are present in an ad hoc network, they share and compete for the common network resources. A rate allocation algorithm must balance the available resou...
Xiaoqing Zhu, Bernd Girod
ICIP
2008
IEEE
14 years 9 months ago
Dynamic channel selection for multi-user video streaming over cognitive radio networks
Due to the dynamic nature of cognitive radio networks, multi-user video streaming (with various video traffic characteristics and QoS requirements) requires efficient dynamic chan...
Hsien-Po Shiang, Mihaela van der Schaar