TY - GEN
T1 - An in-place texture synthesis technique for memory constrained multimedia applications
AU - Badalov, Alexey
AU - Cheng, Irene
AU - Silva, Claudio
AU - Basu, Anup
PY - 2011
Y1 - 2011
N2 - Despite the rapid evolution of multimedia content, from 2D to 3D and to stereo on IMAX display, material and texture remain an indispensable component when rendering realistic and appealing graphics and animations. As the demand for high-definition displays increases, so is the necessity for high-resolution textures. Nevertheless, the available texture images very often have low resolution and are inadequate for high-quality rendering. Texture synthesis from examples offers an effective way not only for the creation of high resolution texture, but also useful in interpolating missing data resulted from unreliable transmission and overly compressed data. We present a new memory-efficient technique that facilitates high-quality texture synthesis. We compare the time performance and memory usage between our approach and the commonly used caching techniques. Experimental results show that our method can perform better, given limited memory resources.
AB - Despite the rapid evolution of multimedia content, from 2D to 3D and to stereo on IMAX display, material and texture remain an indispensable component when rendering realistic and appealing graphics and animations. As the demand for high-definition displays increases, so is the necessity for high-resolution textures. Nevertheless, the available texture images very often have low resolution and are inadequate for high-quality rendering. Texture synthesis from examples offers an effective way not only for the creation of high resolution texture, but also useful in interpolating missing data resulted from unreliable transmission and overly compressed data. We present a new memory-efficient technique that facilitates high-quality texture synthesis. We compare the time performance and memory usage between our approach and the commonly used caching techniques. Experimental results show that our method can perform better, given limited memory resources.
KW - Texture synthesis
KW - in-place iterative ring search
KW - memory constrained applications
KW - performance optimization
KW - pixel-based
UR - http://www.scopus.com/inward/record.url?scp=80155135561&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80155135561&partnerID=8YFLogxK
U2 - 10.1109/ICME.2011.6012092
DO - 10.1109/ICME.2011.6012092
M3 - Conference contribution
AN - SCOPUS:80155135561
SN - 9781612843490
T3 - Proceedings - IEEE International Conference on Multimedia and Expo
BT - Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011
PB - IEEE Computer Society
T2 - 2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011
Y2 - 11 July 2011 through 15 July 2011
ER -