DocumentCode
2192493
Title
Automated Identification on Odd and Even Fields Based on Active Video
Author
Yang, Yingyun ; Niu, Lipi ; Sun, Ke ; Li, Lei
Author_Institution
Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
3
Abstract
Identification on odd/even fields is one of problems in digital video processing for picture sequences only included in the active video. A new approach to automated detection of field orders is proposed in this paper. The method which adopts horizontal edge detection to obtain horizontal edge picture, then compares to the vertical energy attained by accumulating the value of every pixel in the edge picture, does not rely on blanking intervals and synchronizing information. Experimental results show that the performance of the proposed algorithm is effective.
Keywords
edge detection; image resolution; image sequences; video signal processing; active video; automated identification; digital video processing; field order automated detection; horizontal edge detection; horizontal edge picture; odd-even fields; picture sequences; Blanking; Cathode ray tubes; Digital cameras; Hardware; Image edge detection; Signal detection; Signal processing; Sun; TV; Timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5305452
Filename
5305452
Link To Document