Semantic event detection via multimodal data mining
Semantic event detection via multimodal data mining
复制标题
通过多模态数据挖掘进行语义事件检测
DOI：
--
复制
发表时间：
2006
影响因子：
14.9
通讯作者：
Kasun Wickramaratna
中科院分区：
文献类型：
--
作者：
Min Chen;Shu‐Ching Chen;Mei;Kasun Wickramaratna
本文提出了一种新的视频事件检测框架。该框架的核心是一种高级的时间分析和多模态数据挖掘方法，该方法由三个主要部分组成：低级特征提取、时间模式分析和多模态数据挖掘。这个框架的独特特征之一是，它提供了强大的通用性和可扩展性，能够在很少人为干扰的情况下探索具有代表性的事件模式。介绍了该框架及其在大量不同制作风格的足球视频数据中足球进球事件检测中的应用
This paper presents a novel framework for video event detection. The core of the framework is an advanced temporal analysis and multimodal data mining method that consists of three major components: low-level feature extraction, temporal pattern analysis, and multimodal data mining. One of the unique characteristics of this framework is that it offers strong generality and extensibility with the capability of exploring representative event patterns with little human interference. The framework is presented with its application to the detection of the soccer goal events over a large collection of soccer video data with various production styles