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Proceedings Paper

Multiresolution video segmentation using wavelet transformation
Author(s): Hong Heather Yu; Wayne H. Wolf
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Paper Abstract

This paper describes a new fade and dissolve detection methodology that utilizes wavelet transformation. This approach takes advantage of the production aspects of video as well as mimicking human perception. Each frame of the video is first decomposed into low-resolution component and high- resolution component using wavelet transformation. The possible gradual changes are first detected with edge spectrum average (ESA) feature which is obtained from the high- resolution component, in the mean time, the changing statistics of the ESA is studied to identify fades. Double chromatic difference is applied later on the low-resolution component to identify the dissolve transitions.

Paper Details

Date Published: 23 December 1997
PDF: 12 pages
Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); doi: 10.1117/12.298441
Show Author Affiliations
Hong Heather Yu, Princeton Univ. (United States)
Wayne H. Wolf, Princeton Univ. (United States)


Published in SPIE Proceedings Vol. 3312:
Storage and Retrieval for Image and Video Databases VI
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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