A robust hierarchical video shot detection method

Jyoti Dhillon; Krishna Kakkirala; Srinivasa Rao Chalamala

doi:10.1117/12.913436

30 September 2011 A robust hierarchical video shot detection method

Jyoti Dhillon, Krishna Kakkirala, Srinivasa Rao Chalamala

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82851P (2011) https://doi.org/10.1117/12.913436
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

We propose an hierarchical video shot detection method to detect both abrupt and gradual transitions (dissolves and fade-groups). The philosophy of the method is to use a fast algorithm to pre-process the video by removing those frames which strictly does not comprising a normal scene. The remaining frames may contribute to fade-in fade-out or dissolve areas. These frames are processed by a complex and robust shot detection method. We used object(contour) matching as pre-processing algorithm and SURF on top of it for robustness.

Citation Download Citation

Jyoti Dhillon, Krishna Kakkirala, and Srinivasa Rao Chalamala "A robust hierarchical video shot detection method", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851P (30 September 2011); https://doi.org/10.1117/12.913436

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