Research on Mobile Terminal Based Real-Time Retargeting Technique for Manga Images

Abstract:

With the rapid growth of mobile terminal diversity and versatility, manual generation and maintenance of different versions of a manga image are currently required in mobile phone animation industry to achieve best display effect on various terminal configurations. This paper does researches on the real-time retargeting technique for manga images. By generating the importance map and analyzing the redundancy of feature lines in the manga image, combined with a retargeting algorithm, the solution proposed in this paper can solve the real-time retargeting of manga images on mobile terminals. For most of manga images, this solution can automatically generate a good resizing image with its key object outstanding based on screen resolution and size of the target terminal in real time.

• Periodical: Advanced Materials Research (Volumes 753-755)
• Pages: 2863-2869
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.753-755.2863
• Online since: August 2013
• Authors: Min Li, Xing Gao, Ming Hong Liao, Jun Cong Lin
• Keywords: Manga Image, Mobile Terminal, Real-Time Retargeting

References

[1] Y.S. Wang, C.L. Tai, O. Sorkine and T.Y. Lee. (2008). Optimized Scale-and-Stretch for Image Resizing., ACM Transacitons on Graphics 27(5): Article No. 118.

DOI: 10.1145/1409060.1409071

[2] A. Shamir, A. Hornung. (2012). Modern Approaches to Media Retargeting. SIGGRAPH Asia Course Notes.

[3] Meiling Shi, Dan Xu. A Prominent Object Size Adjustable Method for Content-aware Image Resizing. JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS. 23(5): 915-922.

[4] S. Avidan and A. Shamir (2007). Seam carving for content-aware image resizing., ACM Transactions on Graphics 26(3): Article No. 10.

DOI: 10.1145/1276377.1276390

[5] M. Rubinstein, A Shamir and S. Avidan. (2008). Improved seam carving for video retargeting., ACM Transacitons on Graphics 27(3): Article No. 16.

DOI: 10.1145/1399504.1360615

[6] C. Barnes, E. Shechtman, A. Finkelstein and D.B. Goldman. (2009). PatchMatch: a randomized correspondence algorithm for structural image editing., ACM Transacitons on Graphics 28(3): Article No. 24.

DOI: 10.1145/1576246.1531330

[7] M. Rubinstein, A. Shamir and S. Avidan. (2009). Multi-operator media retargeting., ACM Transacitons on Graphics 28(3): Article No. 23.

DOI: 10.1145/1531326.1531329

[8] W. Dong, N. Zhou, J.C. Paul and X. Zhang(2009). Optimized image resizing using seam carving and scaling. ACM Transactions on Graphics, 28(5): 1-10.

DOI: 10.1145/1618452.1618471

[9] H. Wu, Y.S. Wang, K.C. Feng, T.T. Wong, T.Y. Lee and P.A. Heng (2010). Resizing by Symmetry-Summarization., ACM Transacitons on Graphics 29 (6): Article No. 159.

DOI: 10.1145/1882261.1866185

[10] Renjie Chen, Daniel Freedman, Zachi Karni, Craig Gotsman and Ligang Liu. (2010). Content-Aware Image Resizing by Quadratic Programming. Proceedings of CVPR Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA): 1-8.

DOI: 10.1109/cvprw.2010.5543281

[11] R. Tarjan 1972. Depth-first search and linear graph algorithms., SIAM Journal on Computing 1(2): 146–160.

DOI: 10.1137/0201010

[12] P. Barla, J. Thollot and F.X. Sillion. (2005). Geometric clustering for line drawing simplification. , Proceedings of Eurographics Symposium on Rendering: 183-192.

DOI: 10.1145/1187112.1187227