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Design Considerations for the Video Analyzer SDK

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Book cover Advances in Multimedia Information Processing — PCM 2001 (PCM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2195))

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Abstract

Technology advances in video capture, storage, and distribution, give rise to the need for efficient video indexing, retrieval, editing and navigation. These applications often are built on top of video analyzers, which, up to present, are available only to high-end developers or professional uses. This paper presents our experience in developing a video analyzer tool kit (SDK) that will enable software vendors to develop easy to use video applications for the mass PC users. Our SDK creates video summary automatically using the state of the art shot detection algorithms. It is interactive, efficient, intuitive and easy to use. The SDK enables application areas ranging from PC users for customizing their home video, Internet content providers for publishing video summary, and researchers for advanced video content analysis. The SDK also contains user-friendly interfaces and APIs for performing cut, copy, paste, merge and split operations.

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Reference

  1. R. Lienhart. Comparison of Automatic Shot Boundary Detection Algorithms. In Storage and Retrieval for Image and Video Databases VII, SPIE Vol. 3656, pp. 290–301, Jan. 1999

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© 2001 Springer-Verlag Berlin Heidelberg

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Wang, F., Lian, G., Zheng, J. (2001). Design Considerations for the Video Analyzer SDK. 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_87

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  • DOI: https://doi.org/10.1007/3-540-45453-5_87

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42680-6

  • Online ISBN: 978-3-540-45453-3

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