Effective Algorithm for Detection of Wipes in Presence of Motion and Illumination

Shot boundary detection is the first step in the video processing applications. The detection of gradual transition is quite difficult compared to the detection of abrupt transition. Among the different gradual transitions, the detection of wipes is more challenging because the wipes are of different categories and having complex nature. We have presented a novel method for wipe transitions detection. In the proposed algorithm we used Normalized Mean of Approximate Wavelet Co-efficient (NMAWC) as a metric for potential wipe transition detection. To apply algorithm on whole video to detect wipes is computationally expensive. So we tested our algorithm on the video clips containing wipe transitions. The experimental results are evaluated using the performance metrics Recall, Precision, F1 measure, detection rate and the results are compared with the existing methods. Our proposed algorithm achieved a relatively better trade-off between recall and precision as compared to other algorithms. We tested the proposed approach on different wipe effects including Special wipes. The proposed method successfully avoids false positives caused due to object/camera motion and illumination.