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