The conference office will be opened for AUTOMATICA fair visitors and for tutorial registration on
We have made some efforts for synchronization with the program of the parallel organized workshop ROBOTIK 2008.
Prof. Maja Pantic: "HCI": Human-Centered Intelligent Human-Computer InteractionA widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. To realize this prediction, next-generation computing should develop anticipatory user interfaces that are human-centred, built for humans, and based on naturally occurring multimodal human communication. They should transcend the traditional keyboard and mouse to include natural interactive functions including understanding and emulating both human communicative signals such as facial expressions, body gestures, and vocal outbursts and human behaviors such as affective and social signaling. This talk discusses how far are we to the goal of human-centred computing and HCI² computer interfaces that can understand multimodal human communicative behaviour.
Prof. Shmuel Peleg: Non-Chronological Video Editing and Video SynopsisPowerful effects in video editing can be obtained when relaxing the chronological constraints: activities that occurred in different times can be shown simultaneously and vise versa. The description of non-chronological video editing effects and the simple methods to get them will start this talk.
The non-chronological approach to video is also powerful in creating video summaries. In particular, a full day recorded by a video surveillance camera can be summarized in a few minutes without loss of any activity. It is estimated that 40 million surveillance cameras are being installed annually. But none of the video they record is ever watched: it is too time consuming. The presented video synopsis approach can provide access to the untapped resource of recorded surveillance cameras.
Dr. Alejandro Jaimes: Human Pattern Analysis from Face-to-Face Processing to Social MiningIt is undeniable that the study of human behaviour is significant. We "study" other humans from the time we are born, and the patterns we learn determine to a large extent who we are and how we behave as individuals. At the same time, group behaviour structures our surroundings, shaping the cities we live in, and defining what we can and cannot do. Culture can be considered to be the collective knowledge represented by behavioural patterns across specific groups. In this talk, I will discuss how pattern recognition algorithms could be employed for human pattern analysis, giving examples of differences in the way persons from different cultures interact face to face, and in the dynamics of social networks. I will use examples of vision-based processing in meetings, and of social mining. I will discuss how leveraging the existence of such patterns can lead to the construction of user models for personalization and recommendations, and close by arguing that considering cultural differences is crucial to the future of computing.