基于对象识别与挖掘技术的视频水墨风格化算法研究

项目名称： 基于对象识别与挖掘技术的视频水墨风格化算法研究

项目编号： No.61202165

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 计算机科学学科

项目作者： 王征

作者单位： 天津大学

项目金额： 23万元

中文摘要： 针对目前视频资源极大丰富，而中国水墨画动画的创作却缺乏有效的技术和工具来充分利用视频内容进行水墨风格化转换的问题，本项目提出基于对象挖掘和分类技术的视频序列水墨风格化算法研究。通过引入智能视频处理技术，首先对视频中的主要对象进行特征提取、匹配、数据挖掘和对象分类；在此基础上，结合所获得的视频体的运动特征参数，进行关键帧和帧间的视频水墨风格化渲染，实现水墨风格化结果在时空上的连续性和一致性。具体研究内容包括视频对象挖掘和分类算法、关键帧笔道形态及分布的美观度评估模型、关键帧视频对象的轮廓风格化算法、关键帧局部区域风格化算法、帧间连续风格化方法等。并在上述各项研究的基础上设计开发一个交互式的智能视频水墨风格化系统。该研究课题将为传统水墨动画的制作提供新的思路、技术和工具。其成果在影视特效制作，动漫游戏等文化创意产业具有广阔的应用前景。对于弘扬民族文化，保护文化遗产具有重要意义和价值。

中文关键词： 视频处理；水墨画；图像处理；特征提取；风格化

英文摘要： Nowadays, the video resource is greatly enriched, but the creation of Chinese ink painting animation is still lack of effective techniques and tools to take full advantage of ink style conversion of video resource. So based on existing research outcomes in terms of image processing, intelligent video analysis and recognition as well as simulative drawing of Chinese ink paintings, this project will focus on a series of algorithmic research in ink-painting stylization of video sequences. Firstly, intelligent video analysis techniques are applied for the extraction, tracking, mining and classification of video objects. Then, in combination to the extracted object-based motion parameters, ink-painting stylization of video with continuously rendering over frames is achieved. The main research topics include mining and classification of video object, automatic modelling and assessment of sketch and layout aesthetics based on image feature extraction and machine learning techniques, pen modelling for contour rendering of key frames, local stylization of key frames based on fluid diffusion and inter-frame continuous rendering based on motion features within the video. In addition, based on the outcomes of the project, an interactive system for intelligent ink-painting stylization of video will be developed. This will pr

英文关键词： video processing；ink painting；image processing；feature extraction；stylization