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Coresets for visual summarization with applications to loop closure

Mikhail Volkov, Guy Rosman, Dan Feldman, John W. Fisher, Daniela Rus

发表年份
2015
引用次数
24

摘要

In continuously operating robotic systems, efficient representation of the previously seen camera feed is crucial. Using a highly efficient compression coreset method, we formulate a new method for hierarchical retrieval of frames from large video streams collected online by a moving robot. We demonstrate how to utilize the resulting structure for efficient loop-closure by a novel sampling approach that is adaptive to the structure of the video. The same structure also allows us to create a highly-effective search tool for large-scale videos, which we demonstrate in this paper. We show the efficiency of proposed approaches for retrieval and loop closure on standard datasets, and on a large-scale video from a mobile camera.

关键词

Automatic summarizationComputer scienceArtificial intelligenceComputer visionRepresentation (politics)Data compression

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