Comparison of Video Shot Detection and Video Summarization Techniques
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 8, August 2014

Comparison of Video Shot Detection and Video Summarization Techniques

Vijay Kumar D, Santhosh Kumar K.L, Jharna Majumdar

The Process of shot boundary detection is a fundamental requirement in automatic video indexing, editing and archiving. Many algorithms have been proposed for detecting video shot boundaries and classifying shot and shot transition types. This paper presents a comparison of several new shot boundary detection and classification techniques and their variations including Histograms, Discrete wavelet transform, Haar wavelet based video shot detection and VGRAPH Methods. The performance and ease of selecting good thresholds for these algorithms are evaluated based on a wide variety of video sequences. Threshold selection requires a trade-off between recall and precision that must be guided by the target application

Keywords: DWT, Haar Wavelet, VGRAPH, Video Shot Detection, Video Summarization

Edition: Volume 3 Issue 8, August 2014

Pages: 829 - 833

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How to Cite this Article?

Vijay Kumar D, Santhosh Kumar K.L, Jharna Majumdar, "Comparison of Video Shot Detection and Video Summarization Techniques", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2015463, Volume 3 Issue 8, August 2014, 829 - 833

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