DocumentCode :
1783907
Title :
Regular Clipping Detection of Image Based on SIFT
Author :
Huang Yan Li ; Cui Hao Liang ; Niu Shao Zhang
Author_Institution :
Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
638
Lastpage :
641
Abstract :
For the issues that the cropped level of image is detected and the cropped region of image is determined, a new scheme is proposed that is based on SIFT (Scale-invariant feature transform) for the regular clipping operation under the situation of existing original image. Features points of original and testing images are extracted by SIFT algorithm, and the matching are done between the corresponding features points. According to the relative position relations among matching points, the scaling of testing images corresponding to the original can be calculated, and further the cropped region can be determined. The experimental results show that the detection way works well for the regular clipping.
Keywords :
feature extraction; image matching; transforms; SIFT; feature point extraction; feature point matching; regular clipping detection; scale-invariant feature transform; Computer vision; Euclidean distance; Feature extraction; Histograms; Multimedia communication; Testing; Vectors; SIFT; feature points; regular clipping; scale ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-5389-9
Type :
conf
DOI :
10.1109/IIH-MSP.2014.165
Filename :
6998410
Link To Document :
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