Abstract
This paper presents our work in developing a system, SWIM (Show What I Mean), an prototyping environment for development of content-based image and video retrieval tools. A variety of features for representing image and video content implemented in SWIM has been presented. A set of functional modules of SWIM with unique features, including visual query formation, video parsing and abstraction, image and video retrieval, and video browsing, has been presented with example of their applications.
This is a preview of subscription content, log in via an institution.
Preview
Unable to display preview. Download preview PDF.
References
E. M. Arkin et al., An Efficiently Computable Metric for Comparing Polygonal Shapes, IEEE Transactions on Patt. Analy. and Mach. Intell., 13 (3), pp. 209–216, 1991.
D. Daneels et al., Interactive Outlining: An Improved Approach Using Active Geometry Features, Proc. IS&T/SPIE. Conf. on Storage and Retrieval for Image and Video Databases II, San Jose, CA, 1993.
R. Duda and P. Hart, Pattern recognition and scene analysis, Wiley, New York, 1973.
C. Faloutsos et al., Efficient and Effective Querying by Image Content, Journal of Intelligent Information Systems 3, pp. 231–262, 1994.
Y. Gong et al., An Image Database System with Content Capturing and Fast Image Indexing Abilities, Proc. International Conference on Multimedia Computing and Systems, Boston, MA, 1994, pp. 121–130.
T. Kato et al., A Sketch Retrieval Method for Full Color Image Database: Query by Visual Example, Proc. 11th International Conference on Pattern Recognition, Amsterdam, HOLLAND, 1992, pp. 530–533.
J. Mao and A. K. Jain, Texture Classification and Segmentation Using Multiresolution Simultaneous Autoregressive Models, Pattern Recognition, 25 (2), pp. 173–188, 1992.
M. Miyahara, and Y. Yoshida, Mathematical Transform of (R,G,B) Color Data to Munsell (H,V,C) Color Data, Proc. of SPIE Visual Communication and Image Processing, 1001, pp. 650–657, 1988.
M. Stricker and M. Orengo, Similarity of Color Images, Proc. IS&T/SPIE. Conf. on Storage and Retrieval for Image and Video Databases III, San Jose, CA, 1995.
M. J. Swain and D. H. Balllard, Color Indexing, International Journal of Computer Vision, Vol. 7, pp. 11–32, 1991.
H. Tamura, S. Mori, and T. Yamawaki, Texture Features Corresponding to Visual Perception, IEEE Trans. on Syst., Man, and Cybern., 6 (4), pp. 460–473, 1979.
H. J. Zhang, A. Kankanhalli, and S. W. Smoliar, Automatic Partitioning of Full-motion Video, Multimedia Systems 1 (1), pp. 10–28, 1993.
H. J. Zhang et al., Video Parsing Using Compressed Data, Proc. IS&T/SPIE Conf. on Image and Video Processing II, San Jose, CA, 1994, pp. 142–149.
H. J. Zhang, S. W. Smoliar, and J. H. Wu, Content-Based Video Browsing Tools, Proc. IS&T/SPIE Conf. on Multimedia Computing and Networking 1995, San Jose, CA, 1995.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1996 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, H. (1996). SWIM: A prototype environment for visual media retrieval. In: Li, S.Z., Mital, D.P., Teoh, E.K., Wang, H. (eds) Recent Developments in Computer Vision. ACCV 1995. Lecture Notes in Computer Science, vol 1035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60793-5_106
Download citation
DOI: https://doi.org/10.1007/3-540-60793-5_106
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60793-9
Online ISBN: 978-3-540-49448-5
eBook Packages: Springer Book Archive