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Automatic video-object segmentation employing multi-sprites with constrained delay

机译:自动视频对象分段采用多精灵,具有约束延迟

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This paper proposes an automatic video-object segmentation system for consumer media, based on the background subtraction technique. In order to allow for camera motion, the input images are aligned to a large panoramic background-sprite image. A multi-sprite technique is applied to minimize the size of the synthesized sprite images. In contrast to previous algorithms, which required multiple passes over the input data, the proposed algorithm enables online processing with a fixed processing delay. This is important for implementation in consumer devices which have to run in real-time with constrained resources. We provide example results illustrating that a real-time segmentation on memory-constrained hardware is feasible.
机译:本文提出了一种基于背景减法技术的消费者媒体自动视频对象分段系统。为了允许相机运动,输入图像与大全景背景深度图像对齐。应用多精灵技术以最小化合成精灵图像的尺寸。与先前的算法相比,所需的算法通过输入数据,所提出的算法使在线处理具有固定处理延迟。这对于在使用受约束资源的实时运行的消费者设备中实现是重要的。我们提供了示例结果,说明内存受限硬件上的实时分割是可行的。

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