Transition Detection Using Hilbert Transform and Texture Features
نویسندگان
چکیده
منابع مشابه
Transition Detection Using Hilbert Transform and Texture Features
In this paper, we propose a new method for detecting shot boundaries in video sequences by performing Hilbert transform and extracting feature vectors from Gray Level Co-occurrence Matrix (GLCM). The proposed method is capable of detecting both abrupt and gradual transitions such as dissolves, fades and wipes in the video sequences. The derived features on processing through Kernel k-means clus...
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The first and foremost step in the shot boundary detection is the extraction of features from the video sequences. To obtain better performance in shot boundary detection, a new method is proposed in this paper, where texture and local binary information extracted from the hilbert transformed frames are processed and represented as features. The similarity between the frames is constructed as c...
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ژورنال
عنوان ژورنال: American Journal of Signal Processing
سال: 2012
ISSN: 2165-9354
DOI: 10.5923/j.ajsp.20120202.06