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- 저자 : Khvan Dmitriy (검색결과 2 건)
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Hybrid Deinterlacing Algorithm with Motion Vector Smoothing
Khvan, Dmitriy,Jeon, Gwanggil,Jeong, Jechang 한국방송·미디어공학회 2012 한국방송공학회 학술발표대회 논문집 Vol.2012 No.7
In this paper we propose a new deinterlacing method with block classification and motion vector smoothing. The proposed method classifies a block, then depending on the region it belongs to, the motion estimation or line averaging is applied. To classify a block its variance is calculated. Then, for those blocks that belong to simple non-texture region the line averaging is done while motion estimation is applied to complex region. The motion vector field is smoothed using median filter what yields more accurate interpolation. In the experiments for the subjective evaluation, the proposed method bas shown satisfying results in terms of computation time consumption and peak signal-to-noise ratio. Due to the simplicity of the algorithm computation time was drastically decreased.
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Fast Scene Change Detection Algorithm
Khvan, Dmitriy,Ng, Teck Sheng,Jeong, Jechang 한국방송·미디어공학회 2012 한국방송공학회 학술발표대회 논문집 Vol.2012 No.11
In this paper, we propose a new fast algorithm for effective scene change detection. The proposed algorithm exploits Otsu threshold matching technique, which was proposed earlier. In this method, the current and the reference frames are divided into square blocks of particular size. After doing so, the pixel histogram of each block is generated. According to Otsu method, every histogram distribution is assumed to be bimodal, i.e. pixel distribution can be divided into two groups, based on within-group variance value. The pixel value that minimizes the within-group variance is said to be Otsu threshold. After Otsu threshold is found, the same procedure is performed at the reference frame. If the difference between Otsu threshold of a block in the current frame and co-located block in the reference frame is larger than predefined threshold, then a scene change between those two blocks is detected.
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