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April 9, 2020International Journal of Knowledge-based and Intelligent Engineering Systems8 citations

Detection of shot boundaries and extraction of key frames for video retrieval

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GKG. S. Naveen KumarUniversity of Hyderabad VRV. S. K. ReddyASA College

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Resumen

The prerequisite steps for summarizing, retrieval of video are detection of shot transitions and extraction of key frames. We hypothesized an advanced, ultra-modern Scale Invariant Feature Transform (SIFT). This SIFT method captures statistical modif

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Kumar et al. (Thu,) studied this question.

synapsesocial.com/papers/6a0ebcac25c30b2cc7f9b95c https://doi.org/https://doi.org/10.3233/kes-200024

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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Image matching algorithm based on SIFT using color and exposure information2016 · 23 citations
2Shot Detection Using Pixel wise Difference with Adaptive Threshold and Color Histogram Method in Compressed and Uncompressed Video2013 · 19 citations
3Video Partitioning and Secured Keyframe Extraction of MPEG Video2016 · 33 citations
4An Improved Keyframe Extraction Method Based on HSV Colour Space2013 · 25 citations
5Shot boundary detection in video retrieval2013 · 17 citations

Detection of shot boundaries and extraction of key frames for video retrieval | Synapse