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This paper describes a method for querying lifelog data from visual content and from metadata associated with the recorded images. Our approach mainly relies on mapping the query terms to visual concepts computed on the Lifelogs images according to two separated learning schemes based on use of deep visual features. A post-processing is then performed if the topic is related to time, location or activity...
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