Interactive Montages of Sprites for Indexing and Summarizing Security Video

C. Pal, N. Jojic
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引用次数: 27

Abstract

In this video we present a new model of interaction for indexing and visualizing video in the context of security applications. We present a method of indexing video by arranging irregularly shaped icons or sprites into a montage representing motion events or security events within the original video scene. The sprites in the montage are used as an index into the original video. We also generate video montages to summarize video in which motion events are compressed and overlayed in a video of shorter time duration. This summary video also acts as an index into the original video stream. We use a simple, novel method of extracting sprites for the image and video montages based on incrementally building a Gaussian mixture model with conjugate priors for the background. We then use fast morphological operators to extract foreground elements. Our approach can be viewed as a fast maximum a posteriori (MAP) inference procedure in a layered image model. The contributions of this work are new interaction and summary schemes that allow viewers to potentially survey hours of security video in the order of minutes.
用于索引和总结安全视频的精灵的交互式蒙太奇
在本视频中,我们提出了一种新的交互模型,用于在安全应用的背景下索引和可视化视频。我们提出了一种索引视频的方法,将不规则形状的图标或精灵排列成蒙太奇,代表原始视频场景中的运动事件或安全事件。蒙太奇中的精灵被用作原始视频的索引。我们还生成视频蒙太奇来总结视频,其中运动事件被压缩并覆盖在较短时间持续的视频中。这个摘要视频也可以作为原始视频流的索引。我们使用一种简单、新颖的方法来提取图像和视频蒙太奇的精灵,该方法基于增量构建具有共轭先验背景的高斯混合模型。然后,我们使用快速形态学算子提取前景元素。我们的方法可以看作是分层图像模型中的快速最大后验(MAP)推理过程。这项工作的贡献是新的交互和总结方案,允许观众在几分钟内调查几个小时的安全视频。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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