Abstract Video-based cooking communication” enables people to share the cooking experiences in their home kitchen. Multimedia technologies will facilitate such communication over the Internet. We propose a multimedia processing platform that supports multi-point video communication and provides several functions to easily access raw video and audio. In this system, we can build and test multimedia processing modules as plug-ins to facilitate... Video-based cooking communication” enables people to share the cooking experiences in their home kitchen. Multimedia technologies will facilitate such communication over the Internet. We propose a multimedia processing platform that supports multi-point video communication and provides several functions to easily access raw video and audio. In this system, we can build and test multimedia processing modules as plug-ins to facilitate the communication. We evaluated this system for actual video-based cooking communication in real kitchens, analyzed the conversation during cooking to present the effects of our system. We also present preliminary experiments and discussions how multimedia technologies can facilitate the cooking communication. Read More Read Less

Abstract In this paper a decision making support system dedicated to histopathology image recognition is considered. The proposed system supports the classification process of histopathology preparations through microscopy image information analysis, with respect to the degree of HER2/neu receptor overexpression. The system combines the output information of ensemble of classifiers – fuzzy decision trees. We propose an aggregation process of the... In this paper a decision making support system dedicated to histopathology image recognition is considered. The proposed system supports the classification process of histopathology preparations through microscopy image information analysis, with respect to the degree of HER2/neu receptor overexpression. The system combines the output information of ensemble of classifiers – fuzzy decision trees. We propose an aggregation process of the corresponding classifiers results with fuzzy Sugeno integral. What more, we introduce new image fragmentation concept, in order to improve the considered classification process. The proposed approach was tested over real clinical data of HER2 breast cancer histopathology images. Read More Read Less