Abstract
In recent years, it has become more important to process multimedia data efficiently. Especially, in the case of multimedia information, the user interface technique and retrieval technique are necessary. Video information takes large portion among the multimedia information. In this paper, we present a video retrieval system. For the video retrieval, we propose SCA (Single Colorizing Algorithm) and CSB (Color- and Spatial-based Binary) tree map algorithm. The SCA reduces the dimensions of the color features. The CSB tree map is a kind of clustering algorithm that increases the number of groups by binary tree structure, and determines suitable numbers of the group to extract optimized objects. In addition, we apply invariant moments to above pre-processed images. Through experiments, the proposed video retrieval system presents high performance comparing with existing retrieval methods.
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Kim, JH., Kang, DS. (2009). Design of an Object-Based Video Retrieval System Using SCA and Invariant Moments. In: Ślęzak, D., Kim, Th., Chang, A.CC., Vasilakos, T., Li, M., Sakurai, K. (eds) Communication and Networking. FGCN 2009. Communications in Computer and Information Science, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10844-0_59
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DOI: https://doi.org/10.1007/978-3-642-10844-0_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10843-3
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