DocumentCode :
3136886
Title :
3-D segmentation-based video processing
Author :
Wu, Gene K. ; Reed, Todd R.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
Volume :
1
fYear :
1996
fDate :
3-6 Nov. 1996
Firstpage :
120
Abstract :
In this paper we investigate the improvements that can be obtained in several conventional video processing algorithms through the incorporation of 3-D (spatiotemporal) segmentation information. Segmentation-aided lowpass filtering, highpass filtering, high frequency emphasis and edge enhancement are described. It is demonstrated that segmentation information can improve the performance of these techniques substantially so that this approach may be promising for other applications (e.g. deinterlacing and resolution conversion) as well.
Keywords :
edge detection; high-pass filters; image enhancement; image segmentation; low-pass filters; video signal processing; 3-D segmentation-based video processing; algorithms; deinterlacing; edge enhancement; high frequency emphasis; highpass filtering; lowpass filtering; performance; resolution conversion; spatiotemporal segmentation; Additive noise; Costs; Filtering; Frequency; Gaussian noise; Image resolution; Image segmentation; Image sequences; Merging; Spatiotemporal phenomena;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-8186-7646-9
Type :
conf
DOI :
10.1109/ACSSC.1996.600841
Filename :
600841
Link To Document :
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