DocumentCode :
145154
Title :
Automatic 3D video detection
Author :
Li Yueli ; Huicheng Lian
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Volume :
1
fYear :
2014
fDate :
26-28 April 2014
Firstpage :
274
Lastpage :
277
Abstract :
In this paper, we propose a novel and effective method to detect whether a video is 3D Side-by-Side format or not. The proposal extracts features between left and right side of video frames for detection. We firstly obtained the difference between left and right side of video frame and adopted a threshold operation for denoising. Secondly, we introduced a ratio method to improve the low precision. Finally, some frames which meet certain conditions were chosen for decision. The experimental results indicate that our proposed method can perform well. The best performance we obtained is 2.88% for false negative rate as 3.40% for false positive rate, by using 1,800 videos for evaluation.
Keywords :
feature extraction; image denoising; object detection; video signal processing; 3D side-by-side format; automatic 3D video detection; false negative rate; false positive rate; feature extraction; image denoising; ratio method; threshold operation; video frame; Computers; Educational institutions; Feature extraction; Motion pictures; Noise; Noise reduction; Three-dimensional displays; 3D side-by-side format; ratio method; threshold operation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
Type :
conf
DOI :
10.1109/InfoSEEE.2014.6948113
Filename :
6948113
Link To Document :
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