基于内容的体育节目分类

【作者】 骆文；

【导师】 王建宇； 周献中；

【作者基本信息】 南京理工大学 ， 系统工程， 2006， 硕士

【摘要】 体育节目作为一种大众普遍喜爱的多媒体，在人们日常生活中占据了极为重要的地位。基于内容的体育节目分类是基于内容的视频信息分类检索的一个部分，是多媒体信息处理研究领域中的重要课题。 本文主要针对基于内容的视频信息分类检索中的若干问题展开讨论研究，包括视频结构化、特征提取、特征优化以及特征分类等等。 针对视频结构化问题，本文在总结现有方法的基础上，提出了一种自适应双阈值比较的镜头转换检测方法，实现了对体育视频结构化操作，取得了较好的试验效果。 针对特征提取问题，本文在用主颜色、圆柱距离以及连通分析的方法实现比赛场地分割的基础上，提取了颜色、纹理等一组静态图像特征；在使用块运动估计方法建立视频镜头运动场的基础上，提取了运动纹理等一组动态视频特征。它们一起被用作为节目分类的数据依据。 在研究视频镜头代表帧提取技术的基础上，用基于帧间差异的方法提取了体育视频段中所有镜头的代表帧，并提出了通过代表帧聚类、慢镜头剔除等操作实现比赛镜头挑选的方法。最后用独立分量分析(ICA)优化特征以及去除特征高阶相关性，并用支持向量机(SVM)对球类体育节目进行了分类，取得了较好的分类效果。更多还原

【Abstract】 The sportscast is one of most popular multimedia, which is in favor with great mass of spectators. The sportscast classification based on content is an important portion of the content-based video information classification and retrieval and main topic in the multimedia information research.In this paper, problems of the video information classification and retrieval are discussed, including video structuring, feature abstracting, feature optimizing and feature classifying, etc.Based on analyzing of recent researches, a video shot detection method, which is based on self-adapting dual-threshold compare, is proposed to solve the problem of video structuring, and then operations of sport video structuring are realized. The experimental results indicate that this method is efficient.Based on applying domain color, cylindrical distance and connectivity analysis to divide fields, static image features are presented for feature abstraction, such as color, texture, etc. it’s also proposed dynamic video features to solve feature abstraction, which are based on applying the method of block motion estimation to build the field of video shot motion, such as motion texture, etc. These features are applied to program classification.Based on the research of abstracting typical frames of video shots, the method based on frame difference is presented to abstract all typical frames of sport video shots. And then the clustering of typical frames and the method of slow motion elimination are used to select sport shots. Finally, the Independent Component Analysis (ICA) is applied to optimize features and wipe off high-order dependency among features. The Support Vector Machine (SVM) is used to classify ball games, which achieves good experiment results.更多还原