Real-time annotation of video objects on tablet computers

João M. F. Silva, Diogo Cabral, Carla Fernandes, N. Correia
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引用次数: 17

Abstract

When using a tablet computer, sketching is a natural approach for users to annotate video scenes. However, when these annotations are done in real-time and overlaid in the video, their context can be lost due to changes in the scene being annotated. We propose an approach towards maintaining the annotations' context, by using object tracking to create anchors onto which further annotations can be attached. To this end, the annotator is capable of using different tracking methods, including a Kinect sensor and/or the TLD object tracking algorithm. The challenges involved in designing an interface to support the association of video annotations with tracked objects in real-time are also discussed. In particular, we discuss our alternative approaches to handle moving object selection on live video, which we have called "Hold and Overlay" and "Hold and Speed Up". In addition, the results of a set of preliminary tests are reported.
在平板电脑上实时标注视频对象
当使用平板电脑时,草图是用户注释视频场景的自然方法。然而,当这些注释实时完成并覆盖在视频中时,由于被注释的场景的变化,它们的上下文可能会丢失。我们提出了一种维护注释上下文的方法,通过使用对象跟踪来创建锚点,从而可以附加更多的注释。为此,注释器能够使用不同的跟踪方法,包括Kinect传感器和/或TLD对象跟踪算法。本文还讨论了设计支持视频注释与跟踪对象实时关联的接口所面临的挑战。特别是,我们讨论了我们的替代方法来处理实时视频上的移动对象选择,我们称之为“保持和覆盖”和“保持和加速”。此外,还报告了一组初步试验的结果。
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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