Abstract
This paper addresses a novel video summarization procedure that produces a dynamic (video) abstract of the original video sequence. To remain temporal characteristic in the video abstract, a newly time-oriented feature is introduced. The approach relies on time instances, frame rate of the original video sequence and display speed of the video summary to select frames for a video abstract. This method preserves the time-evolving dynamic nature of the video content. Based on a input video sequence, real-time video summarization can be achieved at different display speed.
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Liu, C., Xia, T., Li, H. (2005). Time Oriented Video Summarization. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_13
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DOI: https://doi.org/10.1007/11559573_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29069-8
Online ISBN: 978-3-540-31938-2
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