Abstract
With the development of automatic management for industrial manufactory, the applications involving computer-vision and pattern recognition are widely used. The advantages of these modern methods using database to store a large sequence of images for helping management have been widely recognized. However, the storage of massive images into a database may demand a large memory space and cause a slow access speed. To increase the utilization rate of storage space and improve the performance of the database, this paper proposes an image compression scheme which is learnt from video compression to remove temporal and spatial redundancy in the image sequence. The proposed scheme not only alleviates the above issues associated with image storage but also keeps the basic database operations valid to image access, such as, insert, delete and update. At the end of this paper, we use the result to solve the optimizing storage problem successfully for a packaging machine which is computer-vision based quality monitoring.
Supported by Major State Basic Research Development Program: 91120308.
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
Yang, N., Shen, Q., Xie, J.: Technology Research of Image Access in SQL Server Database. Journal of Nanjing Xiaozhuang University 5, 82–86 (2010)
Liu, X.: Study on the strategies and methods for the picture storage in the database. SCI/Tech Information Development&Economy 15, 206–207 (2005)
Wallace, G.K.: The JPEG Still Picture Compression Standard. Communications of the ACM - Special Issue on Digital Multimedia Systems 34, 30–44 (1991)
ISO/IEC/JTCI/SC29/WGll, ISO/IEC, MPEG-1 Committee Draft[S], CD11172: Information Technology (1991)
ISO/IEC/JTCI/SC29/WGll: ISO/IEC, MPEG-2 Committee Draft[S], CDl3818: Information Technology (1993)
ISO/IEC/JTC1/SC29/WG11: MPEG-4. Overview, Doc. N3156 (1999)
Wiegand, T., et al.: Overview of the H.264/AVC Video Coding Standard. IEEE Trans. Circuits Syst. Video Technol. 13, 560–576 (2003)
Ang, P.H., Ruetz, P.A., Auld, D.: Video Compression Makes Big Gains. IEEE Spectrum 28, 16–19 (1991)
Yao, W., Ostermann, J., Zhang, Y.: Video Processing and Communications, pp. 111–120. Pearson Education (2003)
Tourapis, A.M., Au, O.C., Liou, M.L.: Predictive Motion Vector Field Adaptive Search Technique(PMVFAST)—Enhancing Block Based Motion Estimation. In: Proc. Visual Communications and Image Processing 2001, VCIP 2001 (2001)
Rijkse, K.: H.263: Video Coding for Low-Bit-Rate Communication. IEEE Commun. Mag. 34, 42–45 (1996)
Yang, J., Chen, X.: Research of Image Compression Technology Based on MPEG-4. In: IEEE 3rd International Conference on Communication Software and Networks, ICCSN (2011)
Lu, B., Wang, S.: Fast Mode Decision Method Based on Mode Grouping For H.264/AVC. Computer Application and Software 25, 120–125 (2008)
Chen, T.-C., Chen, Y.-H., Tsai, S.-F.: Fast Algorithm and Architecture Design of Low Power Integer Motion Estimation for H.264/AVC. IEEE Trans. Circuits Syst. Video Technol. 17, 232–238 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ma, Z., Wang, X., Jiang, P., Jin, J., Guo, S. (2013). Sequential Record Based Compression for Massive Image Storage in Database. In: Gao, Y., et al. Web-Age Information Management. WAIM 2013. Lecture Notes in Computer Science, vol 7901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39527-7_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-39527-7_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39526-0
Online ISBN: 978-3-642-39527-7
eBook Packages: Computer ScienceComputer Science (R0)