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LEMoRe: A Lifelog Engine for Moments Retrieval at the NTCIR-Lifelog LSAT Task
2016
NTCIR Conference on Evaluation of Information Access Technologies
Semantic image retrieval from large amounts of egocentric visual data requires to leverage powerful techniques for filling in the semantic gap. This paper introduces LEMoRe, a Lifelog Engine for Moments Retrieval, developed in the context of the Lifelog Semantic Access Task (LSAT) of the the NTCIR-12 challenge and discusses its performance variation on different trials. LEMoRe integrates classical image descriptors with high-level semantic concepts extracted by Convolutional Neural Networks
dblp:conf/ntcir/BarraABDNR16
fatcat:d3gta5jscrdtdlncrzuvolnxri