基于视频处理技术的在线体育元数据提取系统研究

Haixin Yao, Jinmei Shao
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引用次数: 0

摘要

体育视频元数据提取系统基于内容的基本目标,采用自动化或半自动化的交互手段获取视频数据作为完整特征和属性的高效检索机制。为快速获取所需视频信息,为体育视频观赏性创造条件。首先,基于视频分层元数据描述模型,讨论了视频结构的处理技术,并在此基础上增加了时域和空域视频对象的运动信息。针对视频的低级视觉特征和高级语义特征提出了一种针对视频信息特定领域的隐式分层划分方法。视频自动提取视觉特征,标注吸引语义特征的地方,实现人机交互。重点研究了体育信息描述符和视觉内容描述符、视频结构描述符。基于视频数据的层次结构模型和视频特征的标准视频内容描述模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Online Sports Metadata Extraction System based on Video Processing Technology
Sports video metadata extraction system based on the content of basic goal use an automated or semi-automated interactive means to obtain video data as complete features and attributes for efficient retrieval mechanism. For fast access to video information needed, sports video ornamental create conditions. Firstly, video-based layered metadata description model, we discuss the structure of the video processing technology, and an increase in the time domain and airspace video object motion information on this basis. Low-level visual features for video and high-level semantic features presents a particular field of video information for video implicit hierarchical division method. Video automated visual feature extraction, semantic feature places marked attracted achieve human-computer interaction. Focus on the sports information descriptors and visual content descriptors, descriptor structure video. Video data based on hierarchical structure model and video features standard video content description model.
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