1 January 2001 Wipe transition detection using polynomial interpolation
Author Affiliations +
Abstract
We present a novel technique for detecting the presence of a wipe transition in video sequences and automatically identifying its type. Our scheme focuses on analyzing the characteristics of the underlying special edit effects and estimates actual transitions by polynomial data interpolation. In particular, a B-spline polynomial curve fitting technique is used to measure 'goodness' of fitting to determine the presence of gradual transitions. Our approach is able to recover the original transition behavior of an edit effect even if it is distorted by various post- processing stages. Our wipe transition detector has been tested on various real video sequences to evaluate the performance of the proposed algorithms.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeho Nam, Ahmed H. Tewfik, "Wipe transition detection using polynomial interpolation", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410932; https://doi.org/10.1117/12.410932
PROCEEDINGS
11 PAGES


SHARE
RELATED CONTENT

Multiresolution example-based depth image restoration
Proceedings of SPIE (September 02 2009)
Fusing multiple images with evidential reasoning
Proceedings of SPIE (April 01 2003)
Reduction of coding artifacts at low bit rates
Proceedings of SPIE (January 09 1998)
Unsupervised exposure correction for video
Proceedings of SPIE (February 04 2009)
Human face detection in video using edge projections
Proceedings of SPIE (May 12 2006)
Rectangular pixels for efficient color image sampling
Proceedings of SPIE (January 24 2011)

Back to Top