1 - 10 of 20 articles
This article proposes an application-layer multiplexing scheme for teleoperation systems with multimodal feedback (video, audio, and haptics). The available transmission resources are carefully allocated to avoid delay-jitter for the haptic signal potentially caused by the size and arrival time...
In order to mechanically predict audiovisual quality in interactive multimedia services, we have developed machine learning--based no-reference parametric models. We have compared Decision Trees--based ensemble methods, Genetic Programming and Deep Learning models that have one and more hidden...
From wearable devices to depth cameras, researchers have exploited various multimodal data to recognize human actions for applications, such as video gaming, education, and healthcare. Although there many successful techniques have been presented in the literature, most current approaches have...
Video summarization and action recognition are two important areas of multimedia video analysis. While these two areas have been tackled separately to date, in this article, we present a latent structural SVM framework to recognize the action and derive the summary of a video in a joint,...
Read and print from thousands of top scholarly journals.
Continue with Facebook
Log in with Microsoft
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Sign Up Log In
To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one.
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.