This paper presents a novel algorithm for wipe scene change detection in video sequences. In the proposed scheme, each image in the sequence is mapped to a reduced image. Then we use statistical features and structural properties of the images to identify wipe transition region. Finally, Hough transform is used to analyse the wiping pattern and the direction of wiping. Results show that the algorithm is capable of detecting all wipe regions accurately even when the video sequence contains other special effects
|Translated title of the contribution||Wipe Scene Change Detection in Video Sequences|
|Title of host publication||Proc. IEEE International Conference on Image Processing (ICIP 99), Kobe, Japan|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||294 - 298|
|Publication status||Published - 1999|
|Event||International Conference on Image Processing, 1999 (ICIP 99) - Kobe, Japan|
Duration: 1 Jan 1999 → …
|Conference||International Conference on Image Processing, 1999 (ICIP 99)|
|Period||1/01/99 → …|
Bibliographical noteOther: Paper No. 916
Rose publication type: Conference contribution
Sponsorship: First author would like to express his gratitude and
sincere appreciation to the University of Bristol and CVCP
for providing financial support for this work.
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