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CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
15 years 11 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
TKDE
2002
239views more  TKDE 2002»
15 years 6 months ago
An Efficient Path Computation Model for Hierarchically Structured Topographical Road Maps
In this paper, we have developed a HiTi (Hierarchical MulTi) graph model for structuring large topographical road maps to the minimum cost route computation. The HiTi graph model p...
Sungwon Jung, Sakti Pramanik
RTAS
2003
IEEE
16 years 2 days ago
Probabilistic Worst-Case Response-Time Analysis for the Controller Area Network
This paper presents a novel approach for calculating a probabilistic worst-case response-time for messages in the Controller Area Network (CAN). CAN uses a bit-stuffing mechanism...
Thomas Nolte, Hans Hansson, Christer Norström
ICIP
2008
IEEE
16 years 8 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
ICC
2009
IEEE
182views Communications» more  ICC 2009»
16 years 1 months ago
Content Clustering Based Video Quality Prediction Model for MPEG4 Video Streaming over Wireless Networks
— The aim of this paper is quality prediction for streaming MPEG4 video sequences over wireless networks for all video content types. Video content has an impact on video quality...
Asiya Khan, Lingfen Sun, Emmanuel C. Ifeachor