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GRAPH-BASED FRAMEWORK FOR VIDEO OBJECT SEGMENTATION AND EXTRACTION IN FEATURE SPACE
GRAPH-BASED FRAMEWORK FOR VIDEO OBJECT SEGMENTATION AND EXTRACTION IN FEATURE SPACE
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机译:特征空间中视频对象分割与提取的基于图形的框架
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摘要
A method for graph-based spatiotemporal video segmentation and automatic target object extraction in high-dimensional feature space includes using a processor to automatically analyze an entire volumetric video sequence; using the processor to construct a high-dimensional feature space that includes color, motion, time, and location information so that pixels in the entire volumetric video sequence are reorganized according to their unique and distinguishable feature vectors; using the processor to create a graph model that fuses the appearance, spatial, and temporal information of all pixels of the video sequence in the high-dimensional feature space; and using the processor to group pixels in the graph model that are inherently similar and assign the same labels to them to form semantic spatiotemporal key segments.
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