Photo clustering of social events by extending photoTOC to a rich context

作者: Irene Gris-Sarabia , Daniel Manchon Vizuete , Xavier Giró Nieto

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摘要: The popularisation of the storage photos on cloud has opened new opportunities and challenges for organisation extension photo collections. This paper presents a light computational solution clustering web based social events. proposal combines first over-segmentation collections each user temporal cues, as previously proposed in PhotoTOC. On second stage, resulting mini-clusters are merged contextual metadata such geolocation, keywords IDs. Results indicate that, although cues very relevant event clustering, robust solutions should also consider all these additional features

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