Abstract
A novel semantic object generation algorithm is proposed by collaborative integration of a new feature-based image segmentation technique and a seeded region aggregation procedure. The homogeneous image regions with closed boundaries are obtained by integrating the results of color edge detection and seeded region growing procedures. The object seeds are then distinguished from these homogeneous image regions. The semantic objects are finally generated by a seeded region aggregation procedure. The extracted semantic objects can then be tracked along the time axis. The video objects can then be used as the basic units for content-based video indexing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Reference
A. Alatan et al., “Image sequence analysis for emerging interactive multimedia services-The European COST 211 framework”, IEEE Trans. on CSVT, vol.8, 802–813, 1998.
J. Fan et al., “Spatiotemporal segmentation for compact video representation”, Signal Processing: Image Communication, vol.16, 553–566, 2001.
C. Gu and M.C. Lee, “Semantic segmentation and tracking of semantic video objects”, IEEE Trans. on CSVT, vol.8, 572–584, 1998.
J. Guo, J. Kim and C.-C. J. Kuo, “SIVOG: Smart interactive video object generation system”, ACM Multimedia‘99, Orlando, Fl., USA, 13–16.
G. Yang and T.S. Huang, Human face detection in a complex background, Pattern Recognition, vol.27, 53–63, 1994.
D. Chai and K.N. Ngan, Face segmentation using skin-color map in videophone application, IEEE Trans. on CSVT, vol.9, 551–564, 1999.
S.-F. Chang, W. Chen and H. Sundaram, “Semantic visual templates: linking visual features to semantics”, ICIP‘98, Chicago, 1998.
S.F. Chang et al., “A fully automatic content-based video search engine supporting spatiotemporal queries”, IEEE Trans. on CSVT, vol.8, 602–615, 1998.
H.J. Zhang, J. Wu, D. Zhong and S. Smoliar, “An integrated system for contentbased video retrieval and browsing”, Pattern Recognition, vol.30, 643–658, 1997.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fan, J., Zhu, X., Wu, L. (2001). Seeded Semantic Object Generation Toward Content-Based Video Indexing. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_108
Download citation
DOI: https://doi.org/10.1007/3-540-45453-5_108
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42680-6
Online ISBN: 978-3-540-45453-3
eBook Packages: Springer Book Archive