Abstract
Region of interest (ROI) based compression can be applied to real-time video transmission in medical or surveillance applications where certain areas are needed to retain better quality than the rest of the image. The use of a fovea combined with ROI for image compression can help to improve the perception of quality and preserve different levels of detail around the ROI. In this paper, a fovea-ROI compression approach is proposed based on the Set Partitioning In Hierarchical Tree (SPIHT) algorithm. Simulation results show that the proposed approach presents better details in objects inside the defined ROI than the standard SPIHT algorithm.
Chapter PDF
Similar content being viewed by others
References
Chang, E.C., Yap, C.K.: Wavelet Approach to Foveating Images. In: Proceedings of the thirteenth annual symposium on Computational geometry - SCG 1997, pp. 397–399 (1997)
Cuhadar, A., Tasdoken, S.: Multiple arbitrary shape ROI coding with zerotree based wavelet coders. In: Proceedings of the IEEE International Conference on Multimedia and Expo, ICME 2003, pp. 157–160. IEEE, Los Alamitos (2003)
Galan-Hernandez, J.C., Alarcon-Aquino, V., Starostenko, O., Ramirez-Cortes, J.M.: DWT Foveation-Based Multiresolution Compression Algorithm. Research in Computing Science, 197–206 (2010)
Park, K.-H., Park, H.W.: Region-of-interest coding based on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology 12(2), 106–113 (2002)
Bovik, A.: The Essential Guide to Video Processing. Academic Press, London (2009)
Hanzo, L., Cherriman, P.J., Streit, J.: Video Compression and Communications. John Wiley & Sons, Ltd, Chichester (2007)
Girod, B., Aaron, A., Rane, S., Rebollo-Monedero, D.: Distributed Video Coding. Proceedings of the IEEE 93, 71–83 (2005)
Martinez, J.L., Weerakkody, W.A.R.J., Fernando, W.A.C., Fernandez-Escribano, G., Kalva, H., Garrido, A.: Distributed Video Coding using Turbo Trellis Coded Modulation. The Visual Computer 25(1), 69–82 (2008)
Silverstein, L.D.: Foundations of Vision. Color Research & Application 21, 142–144 (2008)
Ciocoiu, I.B.: ECG signal compression using 2D wavelet foveation. In: Proceedings of the 2009 International Conference on Hybrid Information Technology - ICHIT 2009, vol. 13, pp. 576–580 (2009)
Bovik, A.C.: Fast algorithms for foveated video processing. IEEE Transactions on Circuits and Systems for Video Technology 13(2), 149–162 (2003)
Galan-Hernandez, J.C., Alarcon-Aquino, V., Starostenko, O., Ramirez-Cortes, J.M.: Wavelet-Based Foveated Compression Algorithm for Real-Time Video Processing. In: Robotics and Automotive Mechanics Conference 2010 IEEE Electronics, september 2010, pp. 405–410. IEEE, Los Alamitos (2010)
Said, A., Pearlman, W.: A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology 6(3), 243–250 (1996)
Tsai, P.: Tree Structure Based Data Hiding for Progressive Transmission Images A Review of Related Works. Fundamenta Informaticae 98, 257–275 (2010)
Shapiro, J.: Embedded image coding using zerotrees of wavelet coefficients. IEEE Transactions on Signal Processing 41, 3445–3462 (1993)
Sweldens, W.: The Lifting Scheme: A Custom-Design Construction of Biorthogonal Wavelets. Applied and Computational Harmonic Analysis 3, 186–200 (1996)
Mallat, S.: A Wavelet Tour of Signal Processing:The Sparse Way, 3rd edn. Academic Press, London (2008)
Acharya, T., Tsai, P.S.: JPEG2000 Standard for Image Compression. John Wiley & Sons, Inc., Hoboken (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Galan-Hernandez, J.C., Alarcon-Aquino, V., Starostenko, O., Ramirez-Cortes, J.M. (2011). Foveated ROI Compression with Hierarchical Trees for Real-Time Video Transmission. In: Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., Ben-Youssef Brants, C., Hancock, E.R. (eds) Pattern Recognition. MCPR 2011. Lecture Notes in Computer Science, vol 6718. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21587-2_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-21587-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21586-5
Online ISBN: 978-3-642-21587-2
eBook Packages: Computer ScienceComputer Science (R0)