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Interactive Video Editing Based on Segmentation and Synthesis

Author: YanChao
Tutor: MaLiZhuang
School: Shanghai Jiaotong University
Course: Applied Computer Technology
Keywords: Video Segmentation Video fusion Watershed Graph partitioning Two-way process Mean coordinates
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 75
Quote: 1
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Abstract


Image and video segmentation, through a certain interaction, the user is interested target object is extracted from the image or sequence of images, the process of the background removed. Split in this article refers to binary segmentation, which is the image into foreground and background. The fusion of the images and video, after the target object of interest is extracted from the source image or the image sequence, the migration of the target object to a new background image or an image sequence, and its color, brightness, etc. make the appropriate adjustments background naturally bonded, it is difficult to distinguish the modified traces. Segmentation and fusion technology has a very important position and role in the field of video editing, film production, video conferencing, television production, and pattern recognition research has important theoretical significance and broad application prospects. Segmentation, this paper proposes a foreground object from a video sequence segmentation method. We proposed certainty degree model, which configuration information is obtained by the partial color. Firstly, all the frames of the video watershed pretreatment, then keyframe graph partitioning process; Next, through a two-way process convinced specific calculated by forward process convinced degrees and supplemented through the reverse process optical flow algorithm to correct a small part of confidence; Finally, according to the belief degrees marked the former background. Integration, the paper has a video fusion algorithm is proposed on the basis of the \Improved fusion effect of the large difference between brightness and illumination of the source and destination images. This paper presents an adjustable parameter to improve the fusion effect, to determine the adjustment area with Matting, and shows how to determine this parameter according to color distribution. Innovation of this paper: 1. Proposed a two-way video segmentation algorithm based on confidence, and [2] in the local color configuration model thinking integrated into the model of assurance to improve the former background color is closer to split effect. The idea of ??two-way split also provides a guideline for the correct segmentation of partially occluded objects. 2 with a square grid instead of the triangle mesh, and enhance the efficiency of the algorithm; an improved MVC fusion method, by a weight factor, the correction \difference between the effect of the large fusion.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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