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Pixel Based Note Taking Through Perceptual Structure Inference, Mitchell Kent Harris
Pixel Based Note Taking Through Perceptual Structure Inference, Mitchell Kent Harris
Theses and Dissertations
Knowledge workers need effective annotation tools to assimilate information. Unfortunately many digital annotators are limited in the range of document that they accept. Those that do accept many different documents do so by converting documents to images, thus losing any awareness about the original content of the document. We introduce a digital note taker that is both universal and content aware. By constructing a hierarchical context tree of document images, the structure of a document is inferred from the image. This hierarchical context tree is shown to be useful by demonstrating how it facilitates selection of document elements, reflowing documents …
Seeing Is Believing: Body Motion Dominates In Multisensory Conversations, Cathy Ennis, Rachel Mcdonnell, Carol O'Sullivan
Seeing Is Believing: Body Motion Dominates In Multisensory Conversations, Cathy Ennis, Rachel Mcdonnell, Carol O'Sullivan
Articles
In many scenes with human characters, interacting groups are an important factor for maintaining a sense of realism. However, little is known about what makes these characters appear realistic. In this paper, we investigate human sensitivity to audio mismatches (i.e., when individuals’ voices are not matched to their gestures) and visual desynchronization (i.e., when the body motions of the individuals in a group are mis-aligned in time) in virtual human conversers. Using motion capture data from a range of both polite conversations and arguments, we conduct a series of perceptual experiments and determine some factors that contribute to the plausibility …
Sensor Data And Perception: Can Sensors Play 20 Questions, Cory Andrew Henson
Sensor Data And Perception: Can Sensors Play 20 Questions, Cory Andrew Henson
Kno.e.sis Publications
Currently, there are many sensors collecting information about our environment, leading to an overwhelming number of observations that must be analyzed and explained in order to achieve situation awareness. As perceptual beings, we are also constantly inundated with sensory data, yet we are able to make sense of our environment with relative ease. Why is the task of perception so easy for us, and so hard for machines; and could this have anything to do with how we play the game 20 Questions?