<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Markov random field image segmentation model for color textured images</style></title><secondary-title><style face="normal" font="default" size="100%">IMAGE AND VISION COMPUTING</style></secondary-title><short-title><style face="normal" font="default" size="100%">IMAGE VISION COMPUT</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">24</style></volume><pages><style face="normal" font="default" size="100%">1103 - 1114</style></pages><isbn><style face="normal" font="default" size="100%">0262-8856</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">10</style></issue><notes><style face="normal" font="default" size="100%">UT: 000241228300006doi: 10.1016/j.imavis.2006.03.005</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">P J Narayanan</style></author><author><style face="normal" font="default" size="100%">S K Nayar</style></author><author><style face="normal" font="default" size="100%">H Y Shum</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A multi-layer MRF model for video object segmentation</style></title><secondary-title><style face="normal" font="default" size="100%">COMPUTER VISION - ACCV 2006, PT II</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pages><style face="normal" font="default" size="100%">953 - 962</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">UT: 000235773200095doi: 10.1007/11612704_95</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Dmitrij Chetverikov</style></author><author><style face="normal" font="default" size="100%">László Czúni</style></author><author><style face="normal" font="default" size="100%">Markus Vincze</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Video Object Segmentation Using a Multicue Markovian Model</style></title><secondary-title><style face="normal" font="default" size="100%">Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">OCG</style></publisher><pub-location><style face="normal" font="default" size="100%">Vienna</style></pub-location><pages><style face="normal" font="default" size="100%">111 - 118</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author><author><style face="normal" font="default" size="100%">Song Guo Qiang</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Color textured image segmentation using a multi-layer Markovian model</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2004</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2004</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Miskolctapolca</style></pub-location><pages><style face="normal" font="default" size="100%">152 - 158</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author><author><style face="normal" font="default" size="100%">Song Guo Qiang</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">IEEE</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Unsupervised segmentation of color textured images using a multi-layer MRF model</style></title><secondary-title><style face="normal" font="default" size="100%">ICIP 2003: IEEE International Conference on Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">961 - 964</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Herein, we propose a novel multi-layer Markov random field (MRF) image segmentation model which aims at combining color and texture features: Each feature is associated to a so called feature layer, where an MRF model is defined using only the corresponding feature. A special layer is assigned to the combined MRF model. This layer interacts with each feature layer and provides the segmentation based on the combination of different features. The model is quite generic and isn't restricted to a particular texture feature. Herein we will test the algorithm using Gabor and MRSAR texture features. Furthermore, the algorithm automatically estimates the number of classes at each layer (there can be different classes at different layers) and the associated model parameters.&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 0344666539doi: 10.1109/ICIP.2003.1247124</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author><author><style face="normal" font="default" size="100%">Song Guo Qiang</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Ranga Katsuri</style></author><author><style face="normal" font="default" size="100%">D Laurendeau</style></author><author><style face="normal" font="default" size="100%">Ching Y Suen</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Multicue MRF image segmentation: Combining texture and color features</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings 16th International Conference on Pattern Recognition (ICPR 2002)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE Computer Society</style></publisher><pages><style face="normal" font="default" size="100%">660 - 663</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature has its own layer, called feature layer, where an MRF model is defined using only the corresponding feature. A special layer is assigned to the combined MRF model. This layer interacts with each feature layer and provides the segmentation based on the combination of different features. The uniqueness of our algorithm is that it provides both color only and texture only segmentations as well as a segmentation based on combined color and texture features. The number of classes on feature layers is given by the user but it is estimated on the combined layer. © 2002 IEEE.&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 33751583776</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author><author><style face="normal" font="default" size="100%">Chung-Mong J Lee</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Color image segmentation and parameter estimation in a markovian framework</style></title><secondary-title><style face="normal" font="default" size="100%">PATTERN RECOGNITION LETTERS</style></secondary-title><short-title><style face="normal" font="default" size="100%">PATTERN RECOGN LETT</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2001///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">309 - 321</style></pages><isbn><style face="normal" font="default" size="100%">0167-8655</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;An unsupervised color image segmentation algorithm is presented, using a Markov random field (MRF) pixel classification model. We propose a new method to estimate initial mean vectors effectively even if the histogram does not have clearly distinguishable peaks. The only parameter supplied by the user is the number of classes. © 2001 Elsevier Science B.V. All rights reserved.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">3-4</style></issue><notes><style face="normal" font="default" size="100%">UT: 000167983900005ScopusID: 0035272740doi: 10.1016/S0167-8655(00)00106-9</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Wladyslaw Skarbek</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of International Conference on Computer Analysis of Images and Patterns (CAIP)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2001///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin; Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">547 - 554</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">doi: 10.1007/3-540-44692-3_66</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author><author><style face="normal" font="default" size="100%">John Chung Mong Lee</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Roland Chin</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Motion Compensated Color Video Classification Using Markov Random Fields</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of Asian Conference on Computer Vision (ACCV)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1998///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin; Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">738 - 745</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">doi: 10.1007/3-540-63930-6_189</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author><author><style face="normal" font="default" size="100%">John Chung Mong Lee</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Hung Tat Tsui</style></author><author><style face="normal" font="default" size="100%">Chi Kit Ronald Chung</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Color Image Classification and Parameter Estimation in a Markovian FrameworkProceedings of Workshop on 3D Computer Vision</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1997.05</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.1560</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">75 - 79</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author><author><style face="normal" font="default" size="100%">John Chung Mong Lee</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Motion Compensated Color Image Classification and Parameter Estimation in a Markovian Framework</style></title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1997///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://biblioteca.universia.net/html_bura/ficha/params/title/motion-compensated-color-image-classification-and-parameter-estimation-in-markovian/id/5664082.html</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>