Abstract
This paper surveys some of the existing techniques and systems for content-based indexing and retrieval of two main types of multimedia data – images and videos. Furthermore, some of our recent work are reported. Specifically, in content-based image retrieval, we have proposed multi-scale color histograms by incorporating color and spatial information. In content-based video retrieval, we have proposed a new level of program between story/event and video sequence levels. Video summarization results are given based on the scene clustering results.
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© 2007 Springer Berlin Heidelberg
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Lu, H., Xue, X., Tan, YP. (2007). Content-Based Image and Video Indexing and Retrieval. In: Lu, R., Siekmann, J.H., Ullrich, C. (eds) Cognitive Systems. Lecture Notes in Computer Science(), vol 4429. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70934-3_11
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DOI: https://doi.org/10.1007/978-3-540-70934-3_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70933-6
Online ISBN: 978-3-540-70934-3
eBook Packages: Computer ScienceComputer Science (R0)