"Interactive Multimodal Transcription of Handwritten Text Images"
Tutorial Interactive Multimodal Transcription of Handwritten Text Images In this course we look at MM-CATTI (Multimodal Computer Assisted Transcription of Text Images) from a general paradigm of Human-Interaction in Pattern Recognition and examine the important challenges and interesting research opportunities entailed the resulting framework. In particular we show how to take direct advantage of the feedback information provided by the user in each interaction step to improve raw recognition performance. We also argue that human interaction naturally entails multimodal processing and show how this fact can lead to improve overall system behaviour and usability. Presenters: Enrique Vidal, Alejandro Tosselli Schedule: 09:00-13:30h Enrique Vidal received the Licenciado degree in Physics in 1978 and the Doctor en Ciencias Físicas degree (Ph.D. in Physics) in 1985, both from the Universitat de València. From 1978 to 1986 he was with this University serving in computer system programming and teaching positions. In the same period he coordinated a research group in the fields of Pattern Recognition and Automatic Speech Recognition. In 1986 he joined the Departamento de Sistemas Informáticos y Computación of the Universidad Politécnica de Valencia (UPV), where he is until now serving as a full professor of the Facultad de Informática. In 1995 he joined the Instituto Tecnológico de Informática, where he has been coordinating several projects on Pattern Recognition and Machine Translation. He is co-leader of the Pattern Recognition and Human Language Technology group of the UPV. His current fields of interest include Statistical Pattern Recognition, Multimodal Interaction and applications to Speech, Language and Image processing. In these fields, he has published more than two hundred papers in relevant journals, conference proceedings and books. Dr. Vidal is a member of the Spanish Society for Pattern Recognition and Image Analysis (AERFAI) and the International Association for Pattern Recognition (IAPR). Alejandro H. Toselli received the M.S. degree in electrical engineering from Universidad Nacional de Tucumán (Argentina)"in 1997 and the Ph.D. degree in Computer Science from Üniversidad Politécnica de Valencia (Spain)"in 2004. His current research interest lies in the subject of Computer Assisted and Multimodal Interaction in Pattern Recognition Systems: Handwritten Text Recognition/Transcription Applications. Dr. Alejandro is a member of the Spanish Society for Pattern Recognition and Image Analysis (AERFAI) and the International Association for Pattern Recognition (IAPR).