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A Study on Video Segmentation and Composition

Author: PanYuanHang
Tutor: MaLiZhuang
School: Shanghai Jiaotong University
Course: Computer Applications
Keywords: Video Segmentation Video fusion Graph Cut Watershed Gaussian mixture model Histogram matching White Balance
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 393
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Abstract


Video and image segmentation, refers to certain standard image or image sequence is divided into a plurality of space areas, separated from the object of attention. Split in this article refers specifically to binary segmentation, ie before the split background. Video and image segmentation has a very important position and role in the field of multimedia applications, such as digital entertainment, video encoding, visual surveillance, television and telephone conference, video database retrieval, research has important theoretical significance and broad application prospects. Video fusion refers to the synthesis of segmented video object to another section of the video, and composite video looks real natural. The key is how to make the synthesized realistic video effects, consistent light, natural transition, there is no obvious traces of human convergence. Synthesis of video material reuse, such as the film industry, has a practical value in the field of digital entertainment photorealistic experience. The paper first introduces the basic concepts and the basic theory of segmentation and integration, review and analysis of the research status and mainstream algorithms; and on this basis, Graph-Cut method based on MAP-MRF model framework to achieve the An interactive image segmentation system. Background Cut-based technology, combined with the Gaussian mixture background modeling, change detection, and watershed pre-segmentation method to improve and achieve an automated video segmentation and propose a solution for the problem of illumination changes. In addition, in the field of video convergence, the paper proposes a video fusion algorithm based on adaptive adjustment of color balance and histogram to quickly and truly complete video object in the fusion process in the new background. Described herein systems are Windows XP, OpenCV-based image processing library, using the C language. The experiments show that this segmentation and fusion algorithm is better. Innovation of this paper: 1. Framework with the airport Background Cut algorithm based on the proposed automatic video segmentation system based on stable background, and on top of this effect and speed improvements: Combined with a pixel-by-pixel Gaussian hybrid model, using change detection algorithm to get the prospect of training samples, and it is introduced into the energy-color item; pre-segmentation of the graph cut algorithm to accelerate the introduction of watershed algorithm; multi-resolution programs in the post-processing stage and edge blur algorithm optimize results; histogram matching algorithm robust background light changes update. Based on the physical properties of the objects according to color theory, proposed rapid fusion algorithm adaptively adjusted based on the automatic color balance and HSV space histogram. 3. An artificial interactive image segmentation system.

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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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