基于边缘的运动视频序列语义分类

2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698) Pub Date : 2003-07-06 DOI:10.1109/ICME.2003.1220878

Michael H. Lee, S. Nepal, Uma Srinivasan

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引用次数: 18

摘要

提出了一种基于边缘的运动视频序列语义分类方法。本文提出了一种边缘检测算法，并举例说明了边缘在视频内容语义分析中的应用。我们首先提出了一种算法，可以直接在MPEG格式上检测视频帧内的边缘，而不需要解压过程。该算法基于一种空域合成边缘模型，该模型利用DCT两个边缘特征的水平和垂直的相互关系来定义。然后，我们使用多步骤方法将视频序列分类为有意义的语义段，如篮球比赛中的“进球”、“犯规”和“人群”，使用“边缘”标准。然后，我们展示了如何使用音频特征(“哨声”)作为过滤器来增强基于边缘的语义分类。

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Edge-based semantic classification of sports video sequences

This paper presents an edge-based semantic classification of sports video sequences. The paper presents an algorithm for edge detection, and illustrates the usage of edges for semantic analysis of video content. We first propose an algorithm for detecting edges within video frames directly on the MPEG format without a decompression process. The algorithm is based on a spatial-domain synthetic edge model, which is defined using interrelationship of two DCT edge features: horizontal and vertical. We then use a multi-step approach to classify video sequences into meaningful semantic segments such as "goal", "foul", and "crowd" in basketball games using the "edgeness" criteria. We then show how an audio feature ("whistles") can be used as a filter to enhance edge-based semantic classification.

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2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)

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