Abstract
In this paper, we present a real-time video abstraction framework that responds to the affection of the contents. For abstraction, we extract edges and quantize the color of each frame of video in real-time in order to emphasize the important part of the frame. The key of our scheme is how to process each frame in real-time. This purpose is achieved by using CUDA environment, which is the GPU programming environment supported by nVidia, Inc. Using CUDA, our scheme can process more than eight frames per second in producing affectively abstracted images.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gooch, B., Gooch, A.: Non-photorealistic rendering. A K Peters, Ltd. (2001)
DeCarlo, D., Santella, A.: Stylization and abstraction of photographs. In: ACM SIGGRAPH 2002, pp. 769–776 (2002)
Wang, J., Xu, Y., Shum, H., Cohen, M.: Video tooning. In: ACM SIGGRAPH 2004, pp. 574–582 (2004)
Winnemoller, H., Olsen, S., Gooch, B.: Real-time video abstraction. In: ACM SIGGRAPH 2006, pp. 1221–1226 (2006)
Kang, H., Lee, S., Chui, C.: Coherent line drawing. In: NPAR 2006, pp. 43–50 (2006)
Kang, H., Lee, S.: Shape-simplifying image abstraction. In: Computer Graphics Forum (Pacific Graphics 2008), vol. 27(7), pp. 1773–1780 (2008)
Kang, H., Lee, S., Chui, C.: Flow-based image abstraction. IEEE Trans. Visualization and Computer Graphics 15(1), 62–76 (2009)
Kyprianidis, J., Kang, H.: Image and video abstraction by coherence enhancing filters. Computer Graphics Forum 30(2), 593–602 (2011)
Development of presentation and service technology of emotion culture contents responded to and shared with users. Technical Report to KOCCA (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yang, H., Min, K. (2012). Affective Real-Time Video Abstraction Using CUDA. In: Lee, G., Howard, D., Ślęzak, D., Hong, Y.S. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Communications in Computer and Information Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32692-9_71
Download citation
DOI: https://doi.org/10.1007/978-3-642-32692-9_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32691-2
Online ISBN: 978-3-642-32692-9
eBook Packages: Computer ScienceComputer Science (R0)