Sciweavers

Share
HCI
2009

A Similarity Measure for Vision-Based Sign Recognition

9 years 9 months ago
A Similarity Measure for Vision-Based Sign Recognition
When we encounter an English word that we do not understand, we can look it up in a dictionary. However, when an American Sign Language (ASL) user encounters an unknown sign, looking up the meaning of that sign is not a straightforward process. It has been recently proposed that this problem can be addressed using a computer vision system that helps users look up the meaning of a sign. In that approach, sign lookup can be treated as a video database retrieval problem. When the user encounters an unknown sign, the user provides a video example of that sign as a query, so as to retrieve the most similar signs in the database. A necessary component of such a sign lookup system is a similarity measure for comparing sign videos. Given a query video of a specific sign, the similarity measure should assign high similarity values to videos from the same sign, and low similarity values to videos from other signs. This paper evaluates a state-of-the-art video-based similarity measure called Dyna...
Haijing Wang, Alexandra Stefan, Vassilis Athitsos
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where HCI
Authors Haijing Wang, Alexandra Stefan, Vassilis Athitsos
Comments (0)
books