Abstract
We propose an algorithm to detect shot transitions of video data in the compressed domain and then extend its effect to the spatial domain. This algorithm is an improvement of the conventional solution, where energy histograms of the DC coefficients are used to calculate the distance between consecutive frames. The DC coefficients of compressed MPEG video data are obtained either through direct extraction [intraframes (I-frames)] or by frame conversion [predicted frames (P-frames)] while those of uncompressed video data are calculated by 8×8 block pixel averaging. The key contribution of this approach is to enhance the detection result by using the ratio between two sliding windows to attenuate the low-pass-filtered frame distance, resulting in the amplification of the transitional regions. The experimental results demonstrate that this algorithm achieves high detection rates with low computational complexity.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
